This is ../../gmp/doc/gmp.info, produced by makeinfo version 4.8 from ../../gmp/doc/gmp.texi. This manual describes how to install and use the GNU multiple precision arithmetic library, version 5.0.1. Copyright 1991, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010 Free Software Foundation, Inc. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, with the Front-Cover Texts being "A GNU Manual", and with the Back-Cover Texts being "You have freedom to copy and modify this GNU Manual, like GNU software". A copy of the license is included in *Note GNU Free Documentation License::. INFO-DIR-SECTION GNU libraries START-INFO-DIR-ENTRY * gmp: (gmp). GNU Multiple Precision Arithmetic Library. END-INFO-DIR-ENTRY  File: gmp.info, Node: Powering Algorithms, Next: Root Extraction Algorithms, Prev: Greatest Common Divisor Algorithms, Up: Algorithms 16.4 Powering Algorithms ======================== * Menu: * Normal Powering Algorithm:: * Modular Powering Algorithm::  File: gmp.info, Node: Normal Powering Algorithm, Next: Modular Powering Algorithm, Prev: Powering Algorithms, Up: Powering Algorithms 16.4.1 Normal Powering ---------------------- Normal `mpz' or `mpf' powering uses a simple binary algorithm, successively squaring and then multiplying by the base when a 1 bit is seen in the exponent, as per Knuth section 4.6.3. The "left to right" variant described there is used rather than algorithm A, since it's just as easy and can be done with somewhat less temporary memory.  File: gmp.info, Node: Modular Powering Algorithm, Prev: Normal Powering Algorithm, Up: Powering Algorithms 16.4.2 Modular Powering ----------------------- Modular powering is implemented using a 2^k-ary sliding window algorithm, as per "Handbook of Applied Cryptography" algorithm 14.85 (*note References::). k is chosen according to the size of the exponent. Larger exponents use larger values of k, the choice being made to minimize the average number of multiplications that must supplement the squaring. The modular multiplies and squares use either a simple division or the REDC method by Montgomery (*note References::). REDC is a little faster, essentially saving N single limb divisions in a fashion similar to an exact remainder (*note Exact Remainder::).  File: gmp.info, Node: Root Extraction Algorithms, Next: Radix Conversion Algorithms, Prev: Powering Algorithms, Up: Algorithms 16.5 Root Extraction Algorithms =============================== * Menu: * Square Root Algorithm:: * Nth Root Algorithm:: * Perfect Square Algorithm:: * Perfect Power Algorithm::  File: gmp.info, Node: Square Root Algorithm, Next: Nth Root Algorithm, Prev: Root Extraction Algorithms, Up: Root Extraction Algorithms 16.5.1 Square Root ------------------ Square roots are taken using the "Karatsuba Square Root" algorithm by Paul Zimmermann (*note References::). An input n is split into four parts of k bits each, so with b=2^k we have n = a3*b^3 + a2*b^2 + a1*b + a0. Part a3 must be "normalized" so that either the high or second highest bit is set. In GMP, k is kept on a limb boundary and the input is left shifted (by an even number of bits) to normalize. The square root of the high two parts is taken, by recursive application of the algorithm (bottoming out in a one-limb Newton's method), s1,r1 = sqrtrem (a3*b + a2) This is an approximation to the desired root and is extended by a division to give s,r, q,u = divrem (r1*b + a1, 2*s1) s = s1*b + q r = u*b + a0 - q^2 The normalization requirement on a3 means at this point s is either correct or 1 too big. r is negative in the latter case, so if r < 0 then r = r + 2*s - 1 s = s - 1 The algorithm is expressed in a divide and conquer form, but as noted in the paper it can also be viewed as a discrete variant of Newton's method, or as a variation on the schoolboy method (no longer taught) for square roots two digits at a time. If the remainder r is not required then usually only a few high limbs of r and u need to be calculated to determine whether an adjustment to s is required. This optimization is not currently implemented. In the Karatsuba multiplication range this algorithm is O(1.5*M(N/2)), where M(n) is the time to multiply two numbers of n limbs. In the FFT multiplication range this grows to a bound of O(6*M(N/2)). In practice a factor of about 1.5 to 1.8 is found in the Karatsuba and Toom-3 ranges, growing to 2 or 3 in the FFT range. The algorithm does all its calculations in integers and the resulting `mpn_sqrtrem' is used for both `mpz_sqrt' and `mpf_sqrt'. The extended precision given by `mpf_sqrt_ui' is obtained by padding with zero limbs.  File: gmp.info, Node: Nth Root Algorithm, Next: Perfect Square Algorithm, Prev: Square Root Algorithm, Up: Root Extraction Algorithms 16.5.2 Nth Root --------------- Integer Nth roots are taken using Newton's method with the following iteration, where A is the input and n is the root to be taken. 1 A a[i+1] = - * ( --------- + (n-1)*a[i] ) n a[i]^(n-1) The initial approximation a[1] is generated bitwise by successively powering a trial root with or without new 1 bits, aiming to be just above the true root. The iteration converges quadratically when started from a good approximation. When n is large more initial bits are needed to get good convergence. The current implementation is not particularly well optimized.  File: gmp.info, Node: Perfect Square Algorithm, Next: Perfect Power Algorithm, Prev: Nth Root Algorithm, Up: Root Extraction Algorithms 16.5.3 Perfect Square --------------------- A significant fraction of non-squares can be quickly identified by checking whether the input is a quadratic residue modulo small integers. `mpz_perfect_square_p' first tests the input mod 256, which means just examining the low byte. Only 44 different values occur for squares mod 256, so 82.8% of inputs can be immediately identified as non-squares. On a 32-bit system similar tests are done mod 9, 5, 7, 13 and 17, for a total 99.25% of inputs identified as non-squares. On a 64-bit system 97 is tested too, for a total 99.62%. These moduli are chosen because they're factors of 2^24-1 (or 2^48-1 for 64-bits), and such a remainder can be quickly taken just using additions (see `mpn_mod_34lsub1'). When nails are in use moduli are instead selected by the `gen-psqr.c' program and applied with an `mpn_mod_1'. The same 2^24-1 or 2^48-1 could be done with nails using some extra bit shifts, but this is not currently implemented. In any case each modulus is applied to the `mpn_mod_34lsub1' or `mpn_mod_1' remainder and a table lookup identifies non-squares. By using a "modexact" style calculation, and suitably permuted tables, just one multiply each is required, see the code for details. Moduli are also combined to save operations, so long as the lookup tables don't become too big. `gen-psqr.c' does all the pre-calculations. A square root must still be taken for any value that passes these tests, to verify it's really a square and not one of the small fraction of non-squares that get through (ie. a pseudo-square to all the tested bases). Clearly more residue tests could be done, `mpz_perfect_square_p' only uses a compact and efficient set. Big inputs would probably benefit from more residue testing, small inputs might be better off with less. The assumed distribution of squares versus non-squares in the input would affect such considerations.  File: gmp.info, Node: Perfect Power Algorithm, Prev: Perfect Square Algorithm, Up: Root Extraction Algorithms 16.5.4 Perfect Power -------------------- Detecting perfect powers is required by some factorization algorithms. Currently `mpz_perfect_power_p' is implemented using repeated Nth root extractions, though naturally only prime roots need to be considered. (*Note Nth Root Algorithm::.) If a prime divisor p with multiplicity e can be found, then only roots which are divisors of e need to be considered, much reducing the work necessary. To this end divisibility by a set of small primes is checked.  File: gmp.info, Node: Radix Conversion Algorithms, Next: Other Algorithms, Prev: Root Extraction Algorithms, Up: Algorithms 16.6 Radix Conversion ===================== Radix conversions are less important than other algorithms. A program dominated by conversions should probably use a different data representation. * Menu: * Binary to Radix:: * Radix to Binary::  File: gmp.info, Node: Binary to Radix, Next: Radix to Binary, Prev: Radix Conversion Algorithms, Up: Radix Conversion Algorithms 16.6.1 Binary to Radix ---------------------- Conversions from binary to a power-of-2 radix use a simple and fast O(N) bit extraction algorithm. Conversions from binary to other radices use one of two algorithms. Sizes below `GET_STR_PRECOMPUTE_THRESHOLD' use a basic O(N^2) method. Repeated divisions by b^n are made, where b is the radix and n is the biggest power that fits in a limb. But instead of simply using the remainder r from such divisions, an extra divide step is done to give a fractional limb representing r/b^n. The digits of r can then be extracted using multiplications by b rather than divisions. Special case code is provided for decimal, allowing multiplications by 10 to optimize to shifts and adds. Above `GET_STR_PRECOMPUTE_THRESHOLD' a sub-quadratic algorithm is used. For an input t, powers b^(n*2^i) of the radix are calculated, until a power between t and sqrt(t) is reached. t is then divided by that largest power, giving a quotient which is the digits above that power, and a remainder which is those below. These two parts are in turn divided by the second highest power, and so on recursively. When a piece has been divided down to less than `GET_STR_DC_THRESHOLD' limbs, the basecase algorithm described above is used. The advantage of this algorithm is that big divisions can make use of the sub-quadratic divide and conquer division (*note Divide and Conquer Division::), and big divisions tend to have less overheads than lots of separate single limb divisions anyway. But in any case the cost of calculating the powers b^(n*2^i) must first be overcome. `GET_STR_PRECOMPUTE_THRESHOLD' and `GET_STR_DC_THRESHOLD' represent the same basic thing, the point where it becomes worth doing a big division to cut the input in half. `GET_STR_PRECOMPUTE_THRESHOLD' includes the cost of calculating the radix power required, whereas `GET_STR_DC_THRESHOLD' assumes that's already available, which is the case when recursing. Since the base case produces digits from least to most significant but they want to be stored from most to least, it's necessary to calculate in advance how many digits there will be, or at least be sure not to underestimate that. For GMP the number of input bits is multiplied by `chars_per_bit_exactly' from `mp_bases', rounding up. The result is either correct or one too big. Examining some of the high bits of the input could increase the chance of getting the exact number of digits, but an exact result every time would not be practical, since in general the difference between numbers 100... and 99... is only in the last few bits and the work to identify 99... might well be almost as much as a full conversion. `mpf_get_str' doesn't currently use the algorithm described here, it multiplies or divides by a power of b to move the radix point to the just above the highest non-zero digit (or at worst one above that location), then multiplies by b^n to bring out digits. This is O(N^2) and is certainly not optimal. The r/b^n scheme described above for using multiplications to bring out digits might be useful for more than a single limb. Some brief experiments with it on the base case when recursing didn't give a noticeable improvement, but perhaps that was only due to the implementation. Something similar would work for the sub-quadratic divisions too, though there would be the cost of calculating a bigger radix power. Another possible improvement for the sub-quadratic part would be to arrange for radix powers that balanced the sizes of quotient and remainder produced, ie. the highest power would be an b^(n*k) approximately equal to sqrt(t), not restricted to a 2^i factor. That ought to smooth out a graph of times against sizes, but may or may not be a net speedup.  File: gmp.info, Node: Radix to Binary, Prev: Binary to Radix, Up: Radix Conversion Algorithms 16.6.2 Radix to Binary ---------------------- *This section needs to be rewritten, it currently describes the algorithms used before GMP 4.3.* Conversions from a power-of-2 radix into binary use a simple and fast O(N) bitwise concatenation algorithm. Conversions from other radices use one of two algorithms. Sizes below `SET_STR_PRECOMPUTE_THRESHOLD' use a basic O(N^2) method. Groups of n digits are converted to limbs, where n is the biggest power of the base b which will fit in a limb, then those groups are accumulated into the result by multiplying by b^n and adding. This saves multi-precision operations, as per Knuth section 4.4 part E (*note References::). Some special case code is provided for decimal, giving the compiler a chance to optimize multiplications by 10. Above `SET_STR_PRECOMPUTE_THRESHOLD' a sub-quadratic algorithm is used. First groups of n digits are converted into limbs. Then adjacent limbs are combined into limb pairs with x*b^n+y, where x and y are the limbs. Adjacent limb pairs are combined into quads similarly with x*b^(2n)+y. This continues until a single block remains, that being the result. The advantage of this method is that the multiplications for each x are big blocks, allowing Karatsuba and higher algorithms to be used. But the cost of calculating the powers b^(n*2^i) must be overcome. `SET_STR_PRECOMPUTE_THRESHOLD' usually ends up quite big, around 5000 digits, and on some processors much bigger still. `SET_STR_PRECOMPUTE_THRESHOLD' is based on the input digits (and tuned for decimal), though it might be better based on a limb count, so as to be independent of the base. But that sort of count isn't used by the base case and so would need some sort of initial calculation or estimate. The main reason `SET_STR_PRECOMPUTE_THRESHOLD' is so much bigger than the corresponding `GET_STR_PRECOMPUTE_THRESHOLD' is that `mpn_mul_1' is much faster than `mpn_divrem_1' (often by a factor of 5, or more).  File: gmp.info, Node: Other Algorithms, Next: Assembly Coding, Prev: Radix Conversion Algorithms, Up: Algorithms 16.7 Other Algorithms ===================== * Menu: * Prime Testing Algorithm:: * Factorial Algorithm:: * Binomial Coefficients Algorithm:: * Fibonacci Numbers Algorithm:: * Lucas Numbers Algorithm:: * Random Number Algorithms::  File: gmp.info, Node: Prime Testing Algorithm, Next: Factorial Algorithm, Prev: Other Algorithms, Up: Other Algorithms 16.7.1 Prime Testing -------------------- The primality testing in `mpz_probab_prime_p' (*note Number Theoretic Functions::) first does some trial division by small factors and then uses the Miller-Rabin probabilistic primality testing algorithm, as described in Knuth section 4.5.4 algorithm P (*note References::). For an odd input n, and with n = q*2^k+1 where q is odd, this algorithm selects a random base x and tests whether x^q mod n is 1 or -1, or an x^(q*2^j) mod n is 1, for 1<=j<=k. If so then n is probably prime, if not then n is definitely composite. Any prime n will pass the test, but some composites do too. Such composites are known as strong pseudoprimes to base x. No n is a strong pseudoprime to more than 1/4 of all bases (see Knuth exercise 22), hence with x chosen at random there's no more than a 1/4 chance a "probable prime" will in fact be composite. In fact strong pseudoprimes are quite rare, making the test much more powerful than this analysis would suggest, but 1/4 is all that's proven for an arbitrary n.  File: gmp.info, Node: Factorial Algorithm, Next: Binomial Coefficients Algorithm, Prev: Prime Testing Algorithm, Up: Other Algorithms 16.7.2 Factorial ---------------- Factorials are calculated by a combination of removal of twos, powering, and binary splitting. The procedure can be best illustrated with an example, 23! = 1.2.3.4.5.6.7.8.9.10.11.12.13.14.15.16.17.18.19.20.21.22.23 has factors of two removed, 23! = 2^19.1.1.3.1.5.3.7.1.9.5.11.3.13.7.15.1.17.9.19.5.21.11.23 and the resulting terms collected up according to their multiplicity, 23! = 2^19.(3.5)^3.(7.9.11)^2.(13.15.17.19.21.23) Each sequence such as 13.15.17.19.21.23 is evaluated by splitting into every second term, as for instance (13.17.21).(15.19.23), and the same recursively on each half. This is implemented iteratively using some bit twiddling. Such splitting is more efficient than repeated Nx1 multiplies since it forms big multiplies, allowing Karatsuba and higher algorithms to be used. And even below the Karatsuba threshold a big block of work can be more efficient for the basecase algorithm. Splitting into subsequences of every second term keeps the resulting products more nearly equal in size than would the simpler approach of say taking the first half and second half of the sequence. Nearly equal products are more efficient for the current multiply implementation.  File: gmp.info, Node: Binomial Coefficients Algorithm, Next: Fibonacci Numbers Algorithm, Prev: Factorial Algorithm, Up: Other Algorithms 16.7.3 Binomial Coefficients ---------------------------- Binomial coefficients C(n,k) are calculated by first arranging k <= n/2 using C(n,k) = C(n,n-k) if necessary, and then evaluating the following product simply from i=2 to i=k. k (n-k+i) C(n,k) = (n-k+1) * prod ------- i=2 i It's easy to show that each denominator i will divide the product so far, so the exact division algorithm is used (*note Exact Division::). The numerators n-k+i and denominators i are first accumulated into as many fit a limb, to save multi-precision operations, though for `mpz_bin_ui' this applies only to the divisors, since n is an `mpz_t' and n-k+i in general won't fit in a limb at all.  File: gmp.info, Node: Fibonacci Numbers Algorithm, Next: Lucas Numbers Algorithm, Prev: Binomial Coefficients Algorithm, Up: Other Algorithms 16.7.4 Fibonacci Numbers ------------------------ The Fibonacci functions `mpz_fib_ui' and `mpz_fib2_ui' are designed for calculating isolated F[n] or F[n],F[n-1] values efficiently. For small n, a table of single limb values in `__gmp_fib_table' is used. On a 32-bit limb this goes up to F[47], or on a 64-bit limb up to F[93]. For convenience the table starts at F[-1]. Beyond the table, values are generated with a binary powering algorithm, calculating a pair F[n] and F[n-1] working from high to low across the bits of n. The formulas used are F[2k+1] = 4*F[k]^2 - F[k-1]^2 + 2*(-1)^k F[2k-1] = F[k]^2 + F[k-1]^2 F[2k] = F[2k+1] - F[2k-1] At each step, k is the high b bits of n. If the next bit of n is 0 then F[2k],F[2k-1] is used, or if it's a 1 then F[2k+1],F[2k] is used, and the process repeated until all bits of n are incorporated. Notice these formulas require just two squares per bit of n. It'd be possible to handle the first few n above the single limb table with simple additions, using the defining Fibonacci recurrence F[k+1]=F[k]+F[k-1], but this is not done since it usually turns out to be faster for only about 10 or 20 values of n, and including a block of code for just those doesn't seem worthwhile. If they really mattered it'd be better to extend the data table. Using a table avoids lots of calculations on small numbers, and makes small n go fast. A bigger table would make more small n go fast, it's just a question of balancing size against desired speed. For GMP the code is kept compact, with the emphasis primarily on a good powering algorithm. `mpz_fib2_ui' returns both F[n] and F[n-1], but `mpz_fib_ui' is only interested in F[n]. In this case the last step of the algorithm can become one multiply instead of two squares. One of the following two formulas is used, according as n is odd or even. F[2k] = F[k]*(F[k]+2F[k-1]) F[2k+1] = (2F[k]+F[k-1])*(2F[k]-F[k-1]) + 2*(-1)^k F[2k+1] here is the same as above, just rearranged to be a multiply. For interest, the 2*(-1)^k term both here and above can be applied just to the low limb of the calculation, without a carry or borrow into further limbs, which saves some code size. See comments with `mpz_fib_ui' and the internal `mpn_fib2_ui' for how this is done.  File: gmp.info, Node: Lucas Numbers Algorithm, Next: Random Number Algorithms, Prev: Fibonacci Numbers Algorithm, Up: Other Algorithms 16.7.5 Lucas Numbers -------------------- `mpz_lucnum2_ui' derives a pair of Lucas numbers from a pair of Fibonacci numbers with the following simple formulas. L[k] = F[k] + 2*F[k-1] L[k-1] = 2*F[k] - F[k-1] `mpz_lucnum_ui' is only interested in L[n], and some work can be saved. Trailing zero bits on n can be handled with a single square each. L[2k] = L[k]^2 - 2*(-1)^k And the lowest 1 bit can be handled with one multiply of a pair of Fibonacci numbers, similar to what `mpz_fib_ui' does. L[2k+1] = 5*F[k-1]*(2*F[k]+F[k-1]) - 4*(-1)^k  File: gmp.info, Node: Random Number Algorithms, Prev: Lucas Numbers Algorithm, Up: Other Algorithms 16.7.6 Random Numbers --------------------- For the `urandomb' functions, random numbers are generated simply by concatenating bits produced by the generator. As long as the generator has good randomness properties this will produce well-distributed N bit numbers. For the `urandomm' functions, random numbers in a range 0<=R48 bit pieces is convenient. With some care though six 21x32->53 bit products can be used, if one of the lower two 21-bit pieces also uses the sign bit. For the `mpn_mul_1' family of functions on a 64-bit machine, the invariant single limb is split at the start, into 3 or 4 pieces. Inside the loop, the bignum operand is split into 32-bit pieces. Fast conversion of these unsigned 32-bit pieces to floating point is highly machine-dependent. In some cases, reading the data into the integer unit, zero-extending to 64-bits, then transferring to the floating point unit back via memory is the only option. Converting partial products back to 64-bit limbs is usually best done as a signed conversion. Since all values are smaller than 2^53, signed and unsigned are the same, but most processors lack unsigned conversions. Here is a diagram showing 16x32 bit products for an `mpn_mul_1' or `mpn_addmul_1' with a 64-bit limb. The single limb operand V is split into four 16-bit parts. The multi-limb operand U is split in the loop into two 32-bit parts. +---+---+---+---+ |v48|v32|v16|v00| V operand +---+---+---+---+ +-------+---+---+ x | u32 | u00 | U operand (one limb) +---------------+ --------------------------------- +-----------+ | u00 x v00 | p00 48-bit products +-----------+ +-----------+ | u00 x v16 | p16 +-----------+ +-----------+ | u00 x v32 | p32 +-----------+ +-----------+ | u00 x v48 | p48 +-----------+ +-----------+ | u32 x v00 | r32 +-----------+ +-----------+ | u32 x v16 | r48 +-----------+ +-----------+ | u32 x v32 | r64 +-----------+ +-----------+ | u32 x v48 | r80 +-----------+ p32 and r32 can be summed using floating-point addition, and likewise p48 and r48. p00 and p16 can be summed with r64 and r80 from the previous iteration. For each loop then, four 49-bit quantities are transferred to the integer unit, aligned as follows, |-----64bits----|-----64bits----| +------------+ | p00 + r64' | i00 +------------+ +------------+ | p16 + r80' | i16 +------------+ +------------+ | p32 + r32 | i32 +------------+ +------------+ | p48 + r48 | i48 +------------+ The challenge then is to sum these efficiently and add in a carry limb, generating a low 64-bit result limb and a high 33-bit carry limb (i48 extends 33 bits into the high half).  File: gmp.info, Node: Assembly SIMD Instructions, Next: Assembly Software Pipelining, Prev: Assembly Floating Point, Up: Assembly Coding 16.8.7 SIMD Instructions ------------------------ The single-instruction multiple-data support in current microprocessors is aimed at signal processing algorithms where each data point can be treated more or less independently. There's generally not much support for propagating the sort of carries that arise in GMP. SIMD multiplications of say four 16x16 bit multiplies only do as much work as one 32x32 from GMP's point of view, and need some shifts and adds besides. But of course if say the SIMD form is fully pipelined and uses less instruction decoding then it may still be worthwhile. On the x86 chips, MMX has so far found a use in `mpn_rshift' and `mpn_lshift', and is used in a special case for 16-bit multipliers in the P55 `mpn_mul_1'. SSE2 is used for Pentium 4 `mpn_mul_1', `mpn_addmul_1', and `mpn_submul_1'.  File: gmp.info, Node: Assembly Software Pipelining, Next: Assembly Loop Unrolling, Prev: Assembly SIMD Instructions, Up: Assembly Coding 16.8.8 Software Pipelining -------------------------- Software pipelining consists of scheduling instructions around the branch point in a loop. For example a loop might issue a load not for use in the present iteration but the next, thereby allowing extra cycles for the data to arrive from memory. Naturally this is wanted only when doing things like loads or multiplies that take several cycles to complete, and only where a CPU has multiple functional units so that other work can be done in the meantime. A pipeline with several stages will have a data value in progress at each stage and each loop iteration moves them along one stage. This is like juggling. If the latency of some instruction is greater than the loop time then it will be necessary to unroll, so one register has a result ready to use while another (or multiple others) are still in progress. (*note Assembly Loop Unrolling::).  File: gmp.info, Node: Assembly Loop Unrolling, Next: Assembly Writing Guide, Prev: Assembly Software Pipelining, Up: Assembly Coding 16.8.9 Loop Unrolling --------------------- Loop unrolling consists of replicating code so that several limbs are processed in each loop. At a minimum this reduces loop overheads by a corresponding factor, but it can also allow better register usage, for example alternately using one register combination and then another. Judicious use of `m4' macros can help avoid lots of duplication in the source code. Any amount of unrolling can be handled with a loop counter that's decremented by N each time, stopping when the remaining count is less than the further N the loop will process. Or by subtracting N at the start, the termination condition becomes when the counter C is less than 0 (and the count of remaining limbs is C+N). Alternately for a power of 2 unroll the loop count and remainder can be established with a shift and mask. This is convenient if also making a computed jump into the middle of a large loop. The limbs not a multiple of the unrolling can be handled in various ways, for example * A simple loop at the end (or the start) to process the excess. Care will be wanted that it isn't too much slower than the unrolled part. * A set of binary tests, for example after an 8-limb unrolling, test for 4 more limbs to process, then a further 2 more or not, and finally 1 more or not. This will probably take more code space than a simple loop. * A `switch' statement, providing separate code for each possible excess, for example an 8-limb unrolling would have separate code for 0 remaining, 1 remaining, etc, up to 7 remaining. This might take a lot of code, but may be the best way to optimize all cases in combination with a deep pipelined loop. * A computed jump into the middle of the loop, thus making the first iteration handle the excess. This should make times smoothly increase with size, which is attractive, but setups for the jump and adjustments for pointers can be tricky and could become quite difficult in combination with deep pipelining.  File: gmp.info, Node: Assembly Writing Guide, Prev: Assembly Loop Unrolling, Up: Assembly Coding 16.8.10 Writing Guide --------------------- This is a guide to writing software pipelined loops for processing limb vectors in assembly. First determine the algorithm and which instructions are needed. Code it without unrolling or scheduling, to make sure it works. On a 3-operand CPU try to write each new value to a new register, this will greatly simplify later steps. Then note for each instruction the functional unit and/or issue port requirements. If an instruction can use either of two units, like U0 or U1 then make a category "U0/U1". Count the total using each unit (or combined unit), and count all instructions. Figure out from those counts the best possible loop time. The goal will be to find a perfect schedule where instruction latencies are completely hidden. The total instruction count might be the limiting factor, or perhaps a particular functional unit. It might be possible to tweak the instructions to help the limiting factor. Suppose the loop time is N, then make N issue buckets, with the final loop branch at the end of the last. Now fill the buckets with dummy instructions using the functional units desired. Run this to make sure the intended speed is reached. Now replace the dummy instructions with the real instructions from the slow but correct loop you started with. The first will typically be a load instruction. Then the instruction using that value is placed in a bucket an appropriate distance down. Run the loop again, to check it still runs at target speed. Keep placing instructions, frequently measuring the loop. After a few you will need to wrap around from the last bucket back to the top of the loop. If you used the new-register for new-value strategy above then there will be no register conflicts. If not then take care not to clobber something already in use. Changing registers at this time is very error prone. The loop will overlap two or more of the original loop iterations, and the computation of one vector element result will be started in one iteration of the new loop, and completed one or several iterations later. The final step is to create feed-in and wind-down code for the loop. A good way to do this is to make a copy (or copies) of the loop at the start and delete those instructions which don't have valid antecedents, and at the end replicate and delete those whose results are unwanted (including any further loads). The loop will have a minimum number of limbs loaded and processed, so the feed-in code must test if the request size is smaller and skip either to a suitable part of the wind-down or to special code for small sizes.  File: gmp.info, Node: Internals, Next: Contributors, Prev: Algorithms, Up: Top 17 Internals ************ *This chapter is provided only for informational purposes and the various internals described here may change in future GMP releases. Applications expecting to be compatible with future releases should use only the documented interfaces described in previous chapters.* * Menu: * Integer Internals:: * Rational Internals:: * Float Internals:: * Raw Output Internals:: * C++ Interface Internals::  File: gmp.info, Node: Integer Internals, Next: Rational Internals, Prev: Internals, Up: Internals 17.1 Integer Internals ====================== `mpz_t' variables represent integers using sign and magnitude, in space dynamically allocated and reallocated. The fields are as follows. `_mp_size' The number of limbs, or the negative of that when representing a negative integer. Zero is represented by `_mp_size' set to zero, in which case the `_mp_d' data is unused. `_mp_d' A pointer to an array of limbs which is the magnitude. These are stored "little endian" as per the `mpn' functions, so `_mp_d[0]' is the least significant limb and `_mp_d[ABS(_mp_size)-1]' is the most significant. Whenever `_mp_size' is non-zero, the most significant limb is non-zero. Currently there's always at least one limb allocated, so for instance `mpz_set_ui' never needs to reallocate, and `mpz_get_ui' can fetch `_mp_d[0]' unconditionally (though its value is then only wanted if `_mp_size' is non-zero). `_mp_alloc' `_mp_alloc' is the number of limbs currently allocated at `_mp_d', and naturally `_mp_alloc >= ABS(_mp_size)'. When an `mpz' routine is about to (or might be about to) increase `_mp_size', it checks `_mp_alloc' to see whether there's enough space, and reallocates if not. `MPZ_REALLOC' is generally used for this. The various bitwise logical functions like `mpz_and' behave as if negative values were twos complement. But sign and magnitude is always used internally, and necessary adjustments are made during the calculations. Sometimes this isn't pretty, but sign and magnitude are best for other routines. Some internal temporary variables are setup with `MPZ_TMP_INIT' and these have `_mp_d' space obtained from `TMP_ALLOC' rather than the memory allocation functions. Care is taken to ensure that these are big enough that no reallocation is necessary (since it would have unpredictable consequences). `_mp_size' and `_mp_alloc' are `int', although `mp_size_t' is usually a `long'. This is done to make the fields just 32 bits on some 64 bits systems, thereby saving a few bytes of data space but still providing plenty of range.  File: gmp.info, Node: Rational Internals, Next: Float Internals, Prev: Integer Internals, Up: Internals 17.2 Rational Internals ======================= `mpq_t' variables represent rationals using an `mpz_t' numerator and denominator (*note Integer Internals::). The canonical form adopted is denominator positive (and non-zero), no common factors between numerator and denominator, and zero uniquely represented as 0/1. It's believed that casting out common factors at each stage of a calculation is best in general. A GCD is an O(N^2) operation so it's better to do a few small ones immediately than to delay and have to do a big one later. Knowing the numerator and denominator have no common factors can be used for example in `mpq_mul' to make only two cross GCDs necessary, not four. This general approach to common factors is badly sub-optimal in the presence of simple factorizations or little prospect for cancellation, but GMP has no way to know when this will occur. As per *Note Efficiency::, that's left to applications. The `mpq_t' framework might still suit, with `mpq_numref' and `mpq_denref' for direct access to the numerator and denominator, or of course `mpz_t' variables can be used directly.  File: gmp.info, Node: Float Internals, Next: Raw Output Internals, Prev: Rational Internals, Up: Internals 17.3 Float Internals ==================== Efficient calculation is the primary aim of GMP floats and the use of whole limbs and simple rounding facilitates this. `mpf_t' floats have a variable precision mantissa and a single machine word signed exponent. The mantissa is represented using sign and magnitude. most least significant significant limb limb _mp_d |---- _mp_exp ---> | _____ _____ _____ _____ _____ |_____|_____|_____|_____|_____| . <------------ radix point <-------- _mp_size ---------> The fields are as follows. `_mp_size' The number of limbs currently in use, or the negative of that when representing a negative value. Zero is represented by `_mp_size' and `_mp_exp' both set to zero, and in that case the `_mp_d' data is unused. (In the future `_mp_exp' might be undefined when representing zero.) `_mp_prec' The precision of the mantissa, in limbs. In any calculation the aim is to produce `_mp_prec' limbs of result (the most significant being non-zero). `_mp_d' A pointer to the array of limbs which is the absolute value of the mantissa. These are stored "little endian" as per the `mpn' functions, so `_mp_d[0]' is the least significant limb and `_mp_d[ABS(_mp_size)-1]' the most significant. The most significant limb is always non-zero, but there are no other restrictions on its value, in particular the highest 1 bit can be anywhere within the limb. `_mp_prec+1' limbs are allocated to `_mp_d', the extra limb being for convenience (see below). There are no reallocations during a calculation, only in a change of precision with `mpf_set_prec'. `_mp_exp' The exponent, in limbs, determining the location of the implied radix point. Zero means the radix point is just above the most significant limb. Positive values mean a radix point offset towards the lower limbs and hence a value >= 1, as for example in the diagram above. Negative exponents mean a radix point further above the highest limb. Naturally the exponent can be any value, it doesn't have to fall within the limbs as the diagram shows, it can be a long way above or a long way below. Limbs other than those included in the `{_mp_d,_mp_size}' data are treated as zero. The `_mp_size' and `_mp_prec' fields are `int', although the `mp_size_t' type is usually a `long'. The `_mp_exp' field is usually `long'. This is done to make some fields just 32 bits on some 64 bits systems, thereby saving a few bytes of data space but still providing plenty of precision and a very large range. The following various points should be noted. Low Zeros The least significant limbs `_mp_d[0]' etc can be zero, though such low zeros can always be ignored. Routines likely to produce low zeros check and avoid them to save time in subsequent calculations, but for most routines they're quite unlikely and aren't checked. Mantissa Size Range The `_mp_size' count of limbs in use can be less than `_mp_prec' if the value can be represented in less. This means low precision values or small integers stored in a high precision `mpf_t' can still be operated on efficiently. `_mp_size' can also be greater than `_mp_prec'. Firstly a value is allowed to use all of the `_mp_prec+1' limbs available at `_mp_d', and secondly when `mpf_set_prec_raw' lowers `_mp_prec' it leaves `_mp_size' unchanged and so the size can be arbitrarily bigger than `_mp_prec'. Rounding All rounding is done on limb boundaries. Calculating `_mp_prec' limbs with the high non-zero will ensure the application requested minimum precision is obtained. The use of simple "trunc" rounding towards zero is efficient, since there's no need to examine extra limbs and increment or decrement. Bit Shifts Since the exponent is in limbs, there are no bit shifts in basic operations like `mpf_add' and `mpf_mul'. When differing exponents are encountered all that's needed is to adjust pointers to line up the relevant limbs. Of course `mpf_mul_2exp' and `mpf_div_2exp' will require bit shifts, but the choice is between an exponent in limbs which requires shifts there, or one in bits which requires them almost everywhere else. Use of `_mp_prec+1' Limbs The extra limb on `_mp_d' (`_mp_prec+1' rather than just `_mp_prec') helps when an `mpf' routine might get a carry from its operation. `mpf_add' for instance will do an `mpn_add' of `_mp_prec' limbs. If there's no carry then that's the result, but if there is a carry then it's stored in the extra limb of space and `_mp_size' becomes `_mp_prec+1'. Whenever `_mp_prec+1' limbs are held in a variable, the low limb is not needed for the intended precision, only the `_mp_prec' high limbs. But zeroing it out or moving the rest down is unnecessary. Subsequent routines reading the value will simply take the high limbs they need, and this will be `_mp_prec' if their target has that same precision. This is no more than a pointer adjustment, and must be checked anyway since the destination precision can be different from the sources. Copy functions like `mpf_set' will retain a full `_mp_prec+1' limbs if available. This ensures that a variable which has `_mp_size' equal to `_mp_prec+1' will get its full exact value copied. Strictly speaking this is unnecessary since only `_mp_prec' limbs are needed for the application's requested precision, but it's considered that an `mpf_set' from one variable into another of the same precision ought to produce an exact copy. Application Precisions `__GMPF_BITS_TO_PREC' converts an application requested precision to an `_mp_prec'. The value in bits is rounded up to a whole limb then an extra limb is added since the most significant limb of `_mp_d' is only non-zero and therefore might contain only one bit. `__GMPF_PREC_TO_BITS' does the reverse conversion, and removes the extra limb from `_mp_prec' before converting to bits. The net effect of reading back with `mpf_get_prec' is simply the precision rounded up to a multiple of `mp_bits_per_limb'. Note that the extra limb added here for the high only being non-zero is in addition to the extra limb allocated to `_mp_d'. For example with a 32-bit limb, an application request for 250 bits will be rounded up to 8 limbs, then an extra added for the high being only non-zero, giving an `_mp_prec' of 9. `_mp_d' then gets 10 limbs allocated. Reading back with `mpf_get_prec' will take `_mp_prec' subtract 1 limb and multiply by 32, giving 256 bits. Strictly speaking, the fact the high limb has at least one bit means that a float with, say, 3 limbs of 32-bits each will be holding at least 65 bits, but for the purposes of `mpf_t' it's considered simply to be 64 bits, a nice multiple of the limb size.  File: gmp.info, Node: Raw Output Internals, Next: C++ Interface Internals, Prev: Float Internals, Up: Internals 17.4 Raw Output Internals ========================= `mpz_out_raw' uses the following format. +------+------------------------+ | size | data bytes | +------+------------------------+ The size is 4 bytes written most significant byte first, being the number of subsequent data bytes, or the twos complement negative of that when a negative integer is represented. The data bytes are the absolute value of the integer, written most significant byte first. The most significant data byte is always non-zero, so the output is the same on all systems, irrespective of limb size. In GMP 1, leading zero bytes were written to pad the data bytes to a multiple of the limb size. `mpz_inp_raw' will still accept this, for compatibility. The use of "big endian" for both the size and data fields is deliberate, it makes the data easy to read in a hex dump of a file. Unfortunately it also means that the limb data must be reversed when reading or writing, so neither a big endian nor little endian system can just read and write `_mp_d'.  File: gmp.info, Node: C++ Interface Internals, Prev: Raw Output Internals, Up: Internals 17.5 C++ Interface Internals ============================ A system of expression templates is used to ensure something like `a=b+c' turns into a simple call to `mpz_add' etc. For `mpf_class' the scheme also ensures the precision of the final destination is used for any temporaries within a statement like `f=w*x+y*z'. These are important features which a naive implementation cannot provide. A simplified description of the scheme follows. The true scheme is complicated by the fact that expressions have different return types. For detailed information, refer to the source code. To perform an operation, say, addition, we first define a "function object" evaluating it, struct __gmp_binary_plus { static void eval(mpf_t f, mpf_t g, mpf_t h) { mpf_add(f, g, h); } }; And an "additive expression" object, __gmp_expr<__gmp_binary_expr > operator+(const mpf_class &f, const mpf_class &g) { return __gmp_expr <__gmp_binary_expr >(f, g); } The seemingly redundant `__gmp_expr<__gmp_binary_expr<...>>' is used to encapsulate any possible kind of expression into a single template type. In fact even `mpf_class' etc are `typedef' specializations of `__gmp_expr'. Next we define assignment of `__gmp_expr' to `mpf_class'. template mpf_class & mpf_class::operator=(const __gmp_expr &expr) { expr.eval(this->get_mpf_t(), this->precision()); return *this; } template void __gmp_expr<__gmp_binary_expr >::eval (mpf_t f, mp_bitcnt_t precision) { Op::eval(f, expr.val1.get_mpf_t(), expr.val2.get_mpf_t()); } where `expr.val1' and `expr.val2' are references to the expression's operands (here `expr' is the `__gmp_binary_expr' stored within the `__gmp_expr'). This way, the expression is actually evaluated only at the time of assignment, when the required precision (that of `f') is known. Furthermore the target `mpf_t' is now available, thus we can call `mpf_add' directly with `f' as the output argument. Compound expressions are handled by defining operators taking subexpressions as their arguments, like this: template __gmp_expr <__gmp_binary_expr<__gmp_expr, __gmp_expr, __gmp_binary_plus> > operator+(const __gmp_expr &expr1, const __gmp_expr &expr2) { return __gmp_expr <__gmp_binary_expr<__gmp_expr, __gmp_expr, __gmp_binary_plus> > (expr1, expr2); } And the corresponding specializations of `__gmp_expr::eval': template void __gmp_expr <__gmp_binary_expr<__gmp_expr, __gmp_expr, Op> >::eval (mpf_t f, mp_bitcnt_t precision) { // declare two temporaries mpf_class temp1(expr.val1, precision), temp2(expr.val2, precision); Op::eval(f, temp1.get_mpf_t(), temp2.get_mpf_t()); } The expression is thus recursively evaluated to any level of complexity and all subexpressions are evaluated to the precision of `f'.  File: gmp.info, Node: Contributors, Next: References, Prev: Internals, Up: Top Appendix A Contributors *********************** Torbjo"rn Granlund wrote the original GMP library and is still the main developer. Code not explicitly attributed to others, was contributed by Torbjo"rn. Several other individuals and organizations have contributed GMP. Here is a list in chronological order on first contribution: Gunnar Sjo"din and Hans Riesel helped with mathematical problems in early versions of the library. Richard Stallman helped with the interface design and revised the first version of this manual. Brian Beuning and Doug Lea helped with testing of early versions of the library and made creative suggestions. John Amanatides of York University in Canada contributed the function `mpz_probab_prime_p'. Paul Zimmermann wrote the REDC-based mpz_powm code, the Scho"nhage-Strassen FFT multiply code, and the Karatsuba square root code. He also improved the Toom3 code for GMP 4.2. Paul sparked the development of GMP 2, with his comparisons between bignum packages. The ECMNET project Paul is organizing was a driving force behind many of the optimizations in GMP 3. Paul also wrote the new GMP 4.3 nth root code (with Torbjo"rn). Ken Weber (Kent State University, Universidade Federal do Rio Grande do Sul) contributed now defunct versions of `mpz_gcd', `mpz_divexact', `mpn_gcd', and `mpn_bdivmod', partially supported by CNPq (Brazil) grant 301314194-2. Per Bothner of Cygnus Support helped to set up GMP to use Cygnus' configure. He has also made valuable suggestions and tested numerous intermediary releases. Joachim Hollman was involved in the design of the `mpf' interface, and in the `mpz' design revisions for version 2. Bennet Yee contributed the initial versions of `mpz_jacobi' and `mpz_legendre'. Andreas Schwab contributed the files `mpn/m68k/lshift.S' and `mpn/m68k/rshift.S' (now in `.asm' form). Robert Harley of Inria, France and David Seal of ARM, England, suggested clever improvements for population count. Robert also wrote highly optimized Karatsuba and 3-way Toom multiplication functions for GMP 3, and contributed the ARM assembly code. Torsten Ekedahl of the Mathematical department of Stockholm University provided significant inspiration during several phases of the GMP development. His mathematical expertise helped improve several algorithms. Linus Nordberg wrote the new configure system based on autoconf and implemented the new random functions. Kevin Ryde worked on a large number of things: optimized x86 code, m4 asm macros, parameter tuning, speed measuring, the configure system, function inlining, divisibility tests, bit scanning, Jacobi symbols, Fibonacci and Lucas number functions, printf and scanf functions, perl interface, demo expression parser, the algorithms chapter in the manual, `gmpasm-mode.el', and various miscellaneous improvements elsewhere. Kent Boortz made the Mac OS 9 port. Steve Root helped write the optimized alpha 21264 assembly code. Gerardo Ballabio wrote the `gmpxx.h' C++ class interface and the C++ `istream' input routines. Jason Moxham rewrote `mpz_fac_ui'. Pedro Gimeno implemented the Mersenne Twister and made other random number improvements. Niels Mo"ller wrote the sub-quadratic GCD and extended GCD code, the quadratic Hensel division code, and (with Torbjo"rn) the new divide and conquer division code for GMP 4.3. Niels also helped implement the new Toom multiply code for GMP 4.3 and implemented helper functions to simplify Toom evaluations for GMP 5.0. He wrote the original version of mpn_mulmod_bnm1. Alberto Zanoni and Marco Bodrato suggested the unbalanced multiply strategy, and found the optimal strategies for evaluation and interpolation in Toom multiplication. Marco Bodrato helped implement the new Toom multiply code for GMP 4.3 and implemented most of the new Toom multiply and squaring code for 5.0. He is the main author of the current mpn_mulmod_bnm1 and mpn_mullo_n. Marco also wrote the functions mpn_invert and mpn_invertappr. David Harvey suggested the internal function `mpn_bdiv_dbm1', implementing division relevant to Toom multiplication. He also worked on fast assembly sequences, in particular on a fast AMD64 `mpn_mul_basecase'. Martin Boij wrote `mpn_perfect_power_p'. (This list is chronological, not ordered after significance. If you have contributed to GMP but are not listed above, please tell about the omission!) The development of floating point functions of GNU MP 2, were supported in part by the ESPRIT-BRA (Basic Research Activities) 6846 project POSSO (POlynomial System SOlving). The development of GMP 2, 3, and 4 was supported in part by the IDA Center for Computing Sciences. Thanks go to Hans Thorsen for donating an SGI system for the GMP test system environment.  File: gmp.info, Node: References, Next: GNU Free Documentation License, Prev: Contributors, Up: Top Appendix B References ********************* B.1 Books ========= * Jonathan M. Borwein and Peter B. Borwein, "Pi and the AGM: A Study in Analytic Number Theory and Computational Complexity", Wiley, 1998. * Richard Crandall and Carl Pomerance, "Prime Numbers: A Computational Perspective", 2nd edition, Springer-Verlag, 2005. `http://math.dartmouth.edu/~carlp/' * Henri Cohen, "A Course in Computational Algebraic Number Theory", Graduate Texts in Mathematics number 138, Springer-Verlag, 1993. `http://www.math.u-bordeaux.fr/~cohen/' * Donald E. Knuth, "The Art of Computer Programming", volume 2, "Seminumerical Algorithms", 3rd edition, Addison-Wesley, 1998. `http://www-cs-faculty.stanford.edu/~knuth/taocp.html' * John D. Lipson, "Elements of Algebra and Algebraic Computing", The Benjamin Cummings Publishing Company Inc, 1981. * Alfred J. Menezes, Paul C. van Oorschot and Scott A. Vanstone, "Handbook of Applied Cryptography", `http://www.cacr.math.uwaterloo.ca/hac/' * Richard M. Stallman and the GCC Developer Community, "Using the GNU Compiler Collection", Free Software Foundation, 2008, available online `http://gcc.gnu.org/onlinedocs/', and in the GCC package `ftp://ftp.gnu.org/gnu/gcc/' B.2 Papers ========== * Yves Bertot, Nicolas Magaud and Paul Zimmermann, "A Proof of GMP Square Root", Journal of Automated Reasoning, volume 29, 2002, pp. 225-252. Also available online as INRIA Research Report 4475, June 2001, `http://www.inria.fr/rrrt/rr-4475.html' * Christoph Burnikel and Joachim Ziegler, "Fast Recursive Division", Max-Planck-Institut fuer Informatik Research Report MPI-I-98-1-022, `http://data.mpi-sb.mpg.de/internet/reports.nsf/NumberView/1998-1-022' * Torbjo"rn Granlund and Peter L. Montgomery, "Division by Invariant Integers using Multiplication", in Proceedings of the SIGPLAN PLDI'94 Conference, June 1994. Also available `ftp://ftp.cwi.nl/pub/pmontgom/divcnst.psa4.gz' (and .psl.gz). * Niels Mo"ller and Torbjo"rn Granlund, "Improved division by invariant integers", to appear. * Torbjo"rn Granlund and Niels Mo"ller, "Division of integers large and small", to appear. * Tudor Jebelean, "An algorithm for exact division", Journal of Symbolic Computation, volume 15, 1993, pp. 169-180. Research report version available `ftp://ftp.risc.uni-linz.ac.at/pub/techreports/1992/92-35.ps.gz' * Tudor Jebelean, "Exact Division with Karatsuba Complexity - Extended Abstract", RISC-Linz technical report 96-31, `ftp://ftp.risc.uni-linz.ac.at/pub/techreports/1996/96-31.ps.gz' * Tudor Jebelean, "Practical Integer Division with Karatsuba Complexity", ISSAC 97, pp. 339-341. Technical report available `ftp://ftp.risc.uni-linz.ac.at/pub/techreports/1996/96-29.ps.gz' * Tudor Jebelean, "A Generalization of the Binary GCD Algorithm", ISSAC 93, pp. 111-116. Technical report version available `ftp://ftp.risc.uni-linz.ac.at/pub/techreports/1993/93-01.ps.gz' * Tudor Jebelean, "A Double-Digit Lehmer-Euclid Algorithm for Finding the GCD of Long Integers", Journal of Symbolic Computation, volume 19, 1995, pp. 145-157. Technical report version also available `ftp://ftp.risc.uni-linz.ac.at/pub/techreports/1992/92-69.ps.gz' * Werner Krandick and Tudor Jebelean, "Bidirectional Exact Integer Division", Journal of Symbolic Computation, volume 21, 1996, pp. 441-455. Early technical report version also available `ftp://ftp.risc.uni-linz.ac.at/pub/techreports/1994/94-50.ps.gz' * Makoto Matsumoto and Takuji Nishimura, "Mersenne Twister: A 623-dimensionally equidistributed uniform pseudorandom number generator", ACM Transactions on Modelling and Computer Simulation, volume 8, January 1998, pp. 3-30. Available online `http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/ARTICLES/mt.ps.gz' (or .pdf) * R. Moenck and A. Borodin, "Fast Modular Transforms via Division", Proceedings of the 13th Annual IEEE Symposium on Switching and Automata Theory, October 1972, pp. 90-96. Reprinted as "Fast Modular Transforms", Journal of Computer and System Sciences, volume 8, number 3, June 1974, pp. 366-386. * Niels Mo"ller, "On Scho"nhage's algorithm and subquadratic integer GCD computation", in Mathematics of Computation, volume 77, January 2008, pp. 589-607. * Peter L. Montgomery, "Modular Multiplication Without Trial Division", in Mathematics of Computation, volume 44, number 170, April 1985. * Arnold Scho"nhage and Volker Strassen, "Schnelle Multiplikation grosser Zahlen", Computing 7, 1971, pp. 281-292. * Kenneth Weber, "The accelerated integer GCD algorithm", ACM Transactions on Mathematical Software, volume 21, number 1, March 1995, pp. 111-122. * Paul Zimmermann, "Karatsuba Square Root", INRIA Research Report 3805, November 1999, `http://www.inria.fr/rrrt/rr-3805.html' * Paul Zimmermann, "A Proof of GMP Fast Division and Square Root Implementations", `http://www.loria.fr/~zimmerma/papers/proof-div-sqrt.ps.gz' * Dan Zuras, "On Squaring and Multiplying Large Integers", ARITH-11: IEEE Symposium on Computer Arithmetic, 1993, pp. 260 to 271. Reprinted as "More on Multiplying and Squaring Large Integers", IEEE Transactions on Computers, volume 43, number 8, August 1994, pp. 899-908.  File: gmp.info, Node: GNU Free Documentation License, Next: Concept Index, Prev: References, Up: Top Appendix C GNU Free Documentation License ***************************************** Version 1.3, 3 November 2008 Copyright (C) 2000, 2001, 2002, 2007, 2008 Free Software Foundation, Inc. `http://fsf.org/' Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. 0. PREAMBLE The purpose of this License is to make a manual, textbook, or other functional and useful document "free" in the sense of freedom: to assure everyone the effective freedom to copy and redistribute it, with or without modifying it, either commercially or noncommercially. Secondarily, this License preserves for the author and publisher a way to get credit for their work, while not being considered responsible for modifications made by others. 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If the Document specifies that a particular numbered version of this License "or any later version" applies to it, you have the option of following the terms and conditions either of that specified version or of any later version that has been published (not as a draft) by the Free Software Foundation. If the Document does not specify a version number of this License, you may choose any version ever published (not as a draft) by the Free Software Foundation. If the Document specifies that a proxy can decide which future versions of this License can be used, that proxy's public statement of acceptance of a version permanently authorizes you to choose that version for the Document. 11. RELICENSING "Massive Multiauthor Collaboration Site" (or "MMC Site") means any World Wide Web server that publishes copyrightable works and also provides prominent facilities for anybody to edit those works. A public wiki that anybody can edit is an example of such a server. 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The operator of an MMC Site may republish an MMC contained in the site under CC-BY-SA on the same site at any time before August 1, 2009, provided the MMC is eligible for relicensing. ADDENDUM: How to use this License for your documents ==================================================== To use this License in a document you have written, include a copy of the License in the document and put the following copyright and license notices just after the title page: Copyright (C) YEAR YOUR NAME. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled ``GNU Free Documentation License''. If you have Invariant Sections, Front-Cover Texts and Back-Cover Texts, replace the "with...Texts." line with this: with the Invariant Sections being LIST THEIR TITLES, with the Front-Cover Texts being LIST, and with the Back-Cover Texts being LIST. If you have Invariant Sections without Cover Texts, or some other combination of the three, merge those two alternatives to suit the situation. If your document contains nontrivial examples of program code, we recommend releasing these examples in parallel under your choice of free software license, such as the GNU General Public License, to permit their use in free software.  File: gmp.info, Node: Concept Index, Next: Function Index, Prev: GNU Free Documentation License, Up: Top Concept Index ************* [index] * Menu: * #include: Headers and Libraries. (line 6) * --build: Build Options. (line 52) * --disable-fft: Build Options. (line 317) * --disable-shared: Build Options. (line 45) * --disable-static: Build Options. (line 45) * --enable-alloca: Build Options. (line 278) * --enable-assert: Build Options. (line 327) * --enable-cxx: Build Options. (line 230) * --enable-fat: Build Options. (line 164) * --enable-mpbsd: Build Options. (line 322) * --enable-profiling <1>: Profiling. (line 6) * --enable-profiling: Build Options. (line 331) * --exec-prefix: Build Options. (line 32) * --host: Build Options. (line 66) * --prefix: Build Options. (line 32) * -finstrument-functions: Profiling. (line 66) * 2exp functions: Efficiency. (line 43) * 68000: Notes for Particular Systems. (line 80) * 80x86: Notes for Particular Systems. (line 126) * ABI <1>: Build Options. (line 171) * ABI: ABI and ISA. (line 6) * About this manual: Introduction to GMP. (line 58) * AC_CHECK_LIB: Autoconf. (line 11) * AIX <1>: ABI and ISA. (line 184) * AIX <2>: Notes for Particular Systems. (line 7) * AIX: ABI and ISA. (line 169) * Algorithms: Algorithms. (line 6) * alloca: Build Options. (line 278) * Allocation of memory: Custom Allocation. (line 6) * AMD64: ABI and ISA. (line 44) * Anonymous FTP of latest version: Introduction to GMP. (line 38) * Application Binary Interface: ABI and ISA. (line 6) * Arithmetic functions <1>: Float Arithmetic. (line 6) * Arithmetic functions <2>: Integer Arithmetic. (line 6) * Arithmetic functions: Rational Arithmetic. (line 6) * ARM: Notes for Particular Systems. (line 20) * Assembly cache handling: Assembly Cache Handling. (line 6) * Assembly carry propagation: Assembly Carry Propagation. (line 6) * Assembly code organisation: Assembly Code Organisation. (line 6) * Assembly coding: Assembly Coding. (line 6) * Assembly floating Point: Assembly Floating Point. (line 6) * Assembly loop unrolling: Assembly Loop Unrolling. (line 6) * Assembly SIMD: Assembly SIMD Instructions. (line 6) * Assembly software pipelining: Assembly Software Pipelining. (line 6) * Assembly writing guide: Assembly Writing Guide. (line 6) * Assertion checking <1>: Debugging. (line 79) * Assertion checking: Build Options. (line 327) * Assignment functions <1>: Assigning Floats. (line 6) * Assignment functions <2>: Initializing Rationals. (line 6) * Assignment functions <3>: Simultaneous Integer Init & Assign. (line 6) * Assignment functions <4>: Simultaneous Float Init & Assign. (line 6) * Assignment functions: Assigning Integers. (line 6) * Autoconf: Autoconf. (line 6) * Basics: GMP Basics. (line 6) * Berkeley MP compatible functions <1>: Build Options. (line 322) * Berkeley MP compatible functions: BSD Compatible Functions. (line 6) * Binomial coefficient algorithm: Binomial Coefficients Algorithm. (line 6) * Binomial coefficient functions: Number Theoretic Functions. (line 100) * Binutils strip: Known Build Problems. (line 28) * Bit manipulation functions: Integer Logic and Bit Fiddling. (line 6) * Bit scanning functions: Integer Logic and Bit Fiddling. (line 38) * Bit shift left: Integer Arithmetic. (line 35) * Bit shift right: Integer Division. (line 53) * Bits per limb: Useful Macros and Constants. (line 7) * BSD MP compatible functions <1>: Build Options. (line 322) * BSD MP compatible functions: BSD Compatible Functions. (line 6) * Bug reporting: Reporting Bugs. (line 6) * Build directory: Build Options. (line 19) * Build notes for binary packaging: Notes for Package Builds. (line 6) * Build notes for particular systems: Notes for Particular Systems. (line 6) * Build options: Build Options. (line 6) * Build problems known: Known Build Problems. (line 6) * Build system: Build Options. (line 52) * Building GMP: Installing GMP. (line 6) * Bus error: Debugging. (line 7) * C compiler: Build Options. (line 182) * C++ compiler: Build Options. (line 254) * C++ interface: C++ Class Interface. (line 6) * C++ interface internals: C++ Interface Internals. (line 6) * C++ istream input: C++ Formatted Input. (line 6) * C++ ostream output: C++ Formatted Output. (line 6) * C++ support: Build Options. (line 230) * CC: Build Options. (line 182) * CC_FOR_BUILD: Build Options. (line 217) * CFLAGS: Build Options. (line 182) * Checker: Debugging. (line 115) * checkergcc: Debugging. (line 122) * Code organisation: Assembly Code Organisation. (line 6) * Compaq C++: Notes for Particular Systems. (line 25) * Comparison functions <1>: Integer Comparisons. (line 6) * Comparison functions <2>: Comparing Rationals. (line 6) * Comparison functions: Float Comparison. (line 6) * Compatibility with older versions: Compatibility with older versions. (line 6) * Conditions for copying GNU MP: Copying. (line 6) * Configuring GMP: Installing GMP. (line 6) * Congruence algorithm: Exact Remainder. (line 29) * Congruence functions: Integer Division. (line 124) * Constants: Useful Macros and Constants. (line 6) * Contributors: Contributors. (line 6) * Conventions for parameters: Parameter Conventions. (line 6) * Conventions for variables: Variable Conventions. (line 6) * Conversion functions <1>: Converting Integers. (line 6) * Conversion functions <2>: Converting Floats. (line 6) * Conversion functions: Rational Conversions. (line 6) * Copying conditions: Copying. (line 6) * CPPFLAGS: Build Options. (line 208) * CPU types <1>: Introduction to GMP. (line 24) * CPU types: Build Options. (line 108) * Cross compiling: Build Options. (line 66) * Custom allocation: Custom Allocation. (line 6) * CXX: Build Options. (line 254) * CXXFLAGS: Build Options. (line 254) * Cygwin: Notes for Particular Systems. (line 43) * Darwin: Known Build Problems. (line 51) * Debugging: Debugging. (line 6) * Demonstration programs: Demonstration Programs. (line 6) * Digits in an integer: Miscellaneous Integer Functions. (line 23) * Divisibility algorithm: Exact Remainder. (line 29) * Divisibility functions: Integer Division. (line 124) * Divisibility testing: Efficiency. (line 91) * Division algorithms: Division Algorithms. (line 6) * Division functions <1>: Rational Arithmetic. (line 22) * Division functions <2>: Integer Division. (line 6) * Division functions: Float Arithmetic. (line 33) * DJGPP <1>: Notes for Particular Systems. (line 43) * DJGPP: Known Build Problems. (line 18) * DLLs: Notes for Particular Systems. (line 56) * DocBook: Build Options. (line 354) * Documentation formats: Build Options. (line 347) * Documentation license: GNU Free Documentation License. (line 6) * DVI: Build Options. (line 350) * Efficiency: Efficiency. (line 6) * Emacs: Emacs. (line 6) * Exact division functions: Integer Division. (line 102) * Exact remainder: Exact Remainder. (line 6) * Example programs: Demonstration Programs. (line 6) * Exec prefix: Build Options. (line 32) * Execution profiling <1>: Profiling. (line 6) * Execution profiling: Build Options. (line 331) * Exponentiation functions <1>: Integer Exponentiation. (line 6) * Exponentiation functions: Float Arithmetic. (line 41) * Export: Integer Import and Export. (line 45) * Expression parsing demo: Demonstration Programs. (line 18) * Extended GCD: Number Theoretic Functions. (line 45) * Factor removal functions: Number Theoretic Functions. (line 90) * Factorial algorithm: Factorial Algorithm. (line 6) * Factorial functions: Number Theoretic Functions. (line 95) * Factorization demo: Demonstration Programs. (line 25) * Fast Fourier Transform: FFT Multiplication. (line 6) * Fat binary: Build Options. (line 164) * FFT multiplication <1>: FFT Multiplication. (line 6) * FFT multiplication: Build Options. (line 317) * Fibonacci number algorithm: Fibonacci Numbers Algorithm. (line 6) * Fibonacci sequence functions: Number Theoretic Functions. (line 108) * Float arithmetic functions: Float Arithmetic. (line 6) * Float assignment functions <1>: Simultaneous Float Init & Assign. (line 6) * Float assignment functions: Assigning Floats. (line 6) * Float comparison functions: Float Comparison. (line 6) * Float conversion functions: Converting Floats. (line 6) * Float functions: Floating-point Functions. (line 6) * Float initialization functions <1>: Simultaneous Float Init & Assign. (line 6) * Float initialization functions: Initializing Floats. (line 6) * Float input and output functions: I/O of Floats. (line 6) * Float internals: Float Internals. (line 6) * Float miscellaneous functions: Miscellaneous Float Functions. (line 6) * Float random number functions: Miscellaneous Float Functions. (line 27) * Float rounding functions: Miscellaneous Float Functions. (line 9) * Float sign tests: Float Comparison. (line 33) * Floating point mode: Notes for Particular Systems. (line 34) * Floating-point functions: Floating-point Functions. (line 6) * Floating-point number: Nomenclature and Types. (line 21) * fnccheck: Profiling. (line 77) * Formatted input: Formatted Input. (line 6) * Formatted output: Formatted Output. (line 6) * Free Documentation License: GNU Free Documentation License. (line 6) * frexp <1>: Converting Floats. (line 23) * frexp: Converting Integers. (line 42) * FTP of latest version: Introduction to GMP. (line 38) * Function classes: Function Classes. (line 6) * FunctionCheck: Profiling. (line 77) * GCC Checker: Debugging. (line 115) * GCD algorithms: Greatest Common Divisor Algorithms. (line 6) * GCD extended: Number Theoretic Functions. (line 45) * GCD functions: Number Theoretic Functions. (line 30) * GDB: Debugging. (line 58) * Generic C: Build Options. (line 153) * GMP Perl module: Demonstration Programs. (line 35) * GMP version number: Useful Macros and Constants. (line 12) * gmp.h: Headers and Libraries. (line 6) * gmpxx.h: C++ Interface General. (line 8) * GNU Debugger: Debugging. (line 58) * GNU Free Documentation License: GNU Free Documentation License. (line 6) * GNU strip: Known Build Problems. (line 28) * gprof: Profiling. (line 41) * Greatest common divisor algorithms: Greatest Common Divisor Algorithms. (line 6) * Greatest common divisor functions: Number Theoretic Functions. (line 30) * Hardware floating point mode: Notes for Particular Systems. (line 34) * Headers: Headers and Libraries. (line 6) * Heap problems: Debugging. (line 24) * Home page: Introduction to GMP. (line 34) * Host system: Build Options. (line 66) * HP-UX: ABI and ISA. (line 107) * HPPA: ABI and ISA. (line 68) * I/O functions <1>: I/O of Integers. (line 6) * I/O functions <2>: I/O of Rationals. (line 6) * I/O functions: I/O of Floats. (line 6) * i386: Notes for Particular Systems. (line 126) * IA-64: ABI and ISA. (line 107) * Import: Integer Import and Export. (line 11) * In-place operations: Efficiency. (line 57) * Include files: Headers and Libraries. (line 6) * info-lookup-symbol: Emacs. (line 6) * Initialization functions <1>: Initializing Integers. (line 6) * Initialization functions <2>: Initializing Rationals. (line 6) * Initialization functions <3>: Random State Initialization. (line 6) * Initialization functions <4>: Simultaneous Float Init & Assign. (line 6) * Initialization functions <5>: Simultaneous Integer Init & Assign. (line 6) * Initialization functions: Initializing Floats. (line 6) * Initializing and clearing: Efficiency. (line 21) * Input functions <1>: I/O of Integers. (line 6) * Input functions <2>: I/O of Rationals. (line 6) * Input functions <3>: I/O of Floats. (line 6) * Input functions: Formatted Input Functions. (line 6) * Install prefix: Build Options. (line 32) * Installing GMP: Installing GMP. (line 6) * Instruction Set Architecture: ABI and ISA. (line 6) * instrument-functions: Profiling. (line 66) * Integer: Nomenclature and Types. (line 6) * Integer arithmetic functions: Integer Arithmetic. (line 6) * Integer assignment functions <1>: Simultaneous Integer Init & Assign. (line 6) * Integer assignment functions: Assigning Integers. (line 6) * Integer bit manipulation functions: Integer Logic and Bit Fiddling. (line 6) * Integer comparison functions: Integer Comparisons. (line 6) * Integer conversion functions: Converting Integers. (line 6) * Integer division functions: Integer Division. (line 6) * Integer exponentiation functions: Integer Exponentiation. (line 6) * Integer export: Integer Import and Export. (line 45) * Integer functions: Integer Functions. (line 6) * Integer import: Integer Import and Export. (line 11) * Integer initialization functions <1>: Simultaneous Integer Init & Assign. (line 6) * Integer initialization functions: Initializing Integers. (line 6) * Integer input and output functions: I/O of Integers. (line 6) * Integer internals: Integer Internals. (line 6) * Integer logical functions: Integer Logic and Bit Fiddling. (line 6) * Integer miscellaneous functions: Miscellaneous Integer Functions. (line 6) * Integer random number functions: Integer Random Numbers. (line 6) * Integer root functions: Integer Roots. (line 6) * Integer sign tests: Integer Comparisons. (line 28) * Integer special functions: Integer Special Functions. (line 6) * Interix: Notes for Particular Systems. (line 51) * Internals: Internals. (line 6) * Introduction: Introduction to GMP. (line 6) * Inverse modulo functions: Number Theoretic Functions. (line 60) * IRIX <1>: Known Build Problems. (line 38) * IRIX: ABI and ISA. (line 132) * ISA: ABI and ISA. (line 6) * istream input: C++ Formatted Input. (line 6) * Jacobi symbol algorithm: Jacobi Symbol. (line 6) * Jacobi symbol functions: Number Theoretic Functions. (line 66) * Karatsuba multiplication: Karatsuba Multiplication. (line 6) * Karatsuba square root algorithm: Square Root Algorithm. (line 6) * Kronecker symbol functions: Number Theoretic Functions. (line 78) * Language bindings: Language Bindings. (line 6) * Latest version of GMP: Introduction to GMP. (line 38) * LCM functions: Number Theoretic Functions. (line 55) * Least common multiple functions: Number Theoretic Functions. (line 55) * Legendre symbol functions: Number Theoretic Functions. (line 69) * libgmp: Headers and Libraries. (line 22) * libgmpxx: Headers and Libraries. (line 27) * Libraries: Headers and Libraries. (line 22) * Libtool: Headers and Libraries. (line 33) * Libtool versioning: Notes for Package Builds. (line 9) * License conditions: Copying. (line 6) * Limb: Nomenclature and Types. (line 31) * Limb size: Useful Macros and Constants. (line 7) * Linear congruential algorithm: Random Number Algorithms. (line 25) * Linear congruential random numbers: Random State Initialization. (line 32) * Linking: Headers and Libraries. (line 22) * Logical functions: Integer Logic and Bit Fiddling. (line 6) * Low-level functions: Low-level Functions. (line 6) * Lucas number algorithm: Lucas Numbers Algorithm. (line 6) * Lucas number functions: Number Theoretic Functions. (line 119) * MacOS X: Known Build Problems. (line 51) * Mailing lists: Introduction to GMP. (line 45) * Malloc debugger: Debugging. (line 30) * Malloc problems: Debugging. (line 24) * Memory allocation: Custom Allocation. (line 6) * Memory management: Memory Management. (line 6) * Mersenne twister algorithm: Random Number Algorithms. (line 17) * Mersenne twister random numbers: Random State Initialization. (line 13) * MINGW: Notes for Particular Systems. (line 43) * MIPS: ABI and ISA. (line 132) * Miscellaneous float functions: Miscellaneous Float Functions. (line 6) * Miscellaneous integer functions: Miscellaneous Integer Functions. (line 6) * MMX: Notes for Particular Systems. (line 132) * Modular inverse functions: Number Theoretic Functions. (line 60) * Most significant bit: Miscellaneous Integer Functions. (line 34) * mp.h: BSD Compatible Functions. (line 21) * MPN_PATH: Build Options. (line 335) * MS Windows: Notes for Particular Systems. (line 56) * MS-DOS: Notes for Particular Systems. (line 43) * Multi-threading: Reentrancy. (line 6) * Multiplication algorithms: Multiplication Algorithms. (line 6) * Nails: Low-level Functions. (line 478) * Native compilation: Build Options. (line 52) * NeXT: Known Build Problems. (line 57) * Next prime function: Number Theoretic Functions. (line 23) * Nomenclature: Nomenclature and Types. (line 6) * Non-Unix systems: Build Options. (line 11) * Nth root algorithm: Nth Root Algorithm. (line 6) * Number sequences: Efficiency. (line 147) * Number theoretic functions: Number Theoretic Functions. (line 6) * Numerator and denominator: Applying Integer Functions. (line 6) * obstack output: Formatted Output Functions. (line 81) * OpenBSD: Notes for Particular Systems. (line 86) * Optimizing performance: Performance optimization. (line 6) * ostream output: C++ Formatted Output. (line 6) * Other languages: Language Bindings. (line 6) * Output functions <1>: I/O of Floats. (line 6) * Output functions <2>: I/O of Rationals. (line 6) * Output functions <3>: Formatted Output Functions. (line 6) * Output functions: I/O of Integers. (line 6) * Packaged builds: Notes for Package Builds. (line 6) * Parameter conventions: Parameter Conventions. (line 6) * Parsing expressions demo: Demonstration Programs. (line 21) * Particular systems: Notes for Particular Systems. (line 6) * Past GMP versions: Compatibility with older versions. (line 6) * PDF: Build Options. (line 350) * Perfect power algorithm: Perfect Power Algorithm. (line 6) * Perfect power functions: Integer Roots. (line 27) * Perfect square algorithm: Perfect Square Algorithm. (line 6) * Perfect square functions: Integer Roots. (line 36) * perl: Demonstration Programs. (line 35) * Perl module: Demonstration Programs. (line 35) * Postscript: Build Options. (line 350) * Power/PowerPC <1>: Known Build Problems. (line 63) * Power/PowerPC: Notes for Particular Systems. (line 92) * Powering algorithms: Powering Algorithms. (line 6) * Powering functions <1>: Float Arithmetic. (line 41) * Powering functions: Integer Exponentiation. (line 6) * PowerPC: ABI and ISA. (line 167) * Precision of floats: Floating-point Functions. (line 6) * Precision of hardware floating point: Notes for Particular Systems. (line 34) * Prefix: Build Options. (line 32) * Prime testing algorithms: Prime Testing Algorithm. (line 6) * Prime testing functions: Number Theoretic Functions. (line 7) * printf formatted output: Formatted Output. (line 6) * Probable prime testing functions: Number Theoretic Functions. (line 7) * prof: Profiling. (line 24) * Profiling: Profiling. (line 6) * Radix conversion algorithms: Radix Conversion Algorithms. (line 6) * Random number algorithms: Random Number Algorithms. (line 6) * Random number functions <1>: Integer Random Numbers. (line 6) * Random number functions <2>: Miscellaneous Float Functions. (line 27) * Random number functions: Random Number Functions. (line 6) * Random number seeding: Random State Seeding. (line 6) * Random number state: Random State Initialization. (line 6) * Random state: Nomenclature and Types. (line 46) * Rational arithmetic: Efficiency. (line 113) * Rational arithmetic functions: Rational Arithmetic. (line 6) * Rational assignment functions: Initializing Rationals. (line 6) * Rational comparison functions: Comparing Rationals. (line 6) * Rational conversion functions: Rational Conversions. (line 6) * Rational initialization functions: Initializing Rationals. (line 6) * Rational input and output functions: I/O of Rationals. (line 6) * Rational internals: Rational Internals. (line 6) * Rational number: Nomenclature and Types. (line 16) * Rational number functions: Rational Number Functions. (line 6) * Rational numerator and denominator: Applying Integer Functions. (line 6) * Rational sign tests: Comparing Rationals. (line 27) * Raw output internals: Raw Output Internals. (line 6) * Reallocations: Efficiency. (line 30) * Reentrancy: Reentrancy. (line 6) * References: References. (line 6) * Remove factor functions: Number Theoretic Functions. (line 90) * Reporting bugs: Reporting Bugs. (line 6) * Root extraction algorithm: Nth Root Algorithm. (line 6) * Root extraction algorithms: Root Extraction Algorithms. (line 6) * Root extraction functions <1>: Float Arithmetic. (line 37) * Root extraction functions: Integer Roots. (line 6) * Root testing functions: Integer Roots. (line 36) * Rounding functions: Miscellaneous Float Functions. (line 9) * Sample programs: Demonstration Programs. (line 6) * Scan bit functions: Integer Logic and Bit Fiddling. (line 38) * scanf formatted input: Formatted Input. (line 6) * SCO: Known Build Problems. (line 38) * Seeding random numbers: Random State Seeding. (line 6) * Segmentation violation: Debugging. (line 7) * Sequent Symmetry: Known Build Problems. (line 68) * Services for Unix: Notes for Particular Systems. (line 51) * Shared library versioning: Notes for Package Builds. (line 9) * Sign tests <1>: Float Comparison. (line 33) * Sign tests <2>: Integer Comparisons. (line 28) * Sign tests: Comparing Rationals. (line 27) * Size in digits: Miscellaneous Integer Functions. (line 23) * Small operands: Efficiency. (line 7) * Solaris <1>: ABI and ISA. (line 201) * Solaris: Known Build Problems. (line 78) * Sparc: Notes for Particular Systems. (line 108) * Sparc V9: ABI and ISA. (line 201) * Special integer functions: Integer Special Functions. (line 6) * Square root algorithm: Square Root Algorithm. (line 6) * SSE2: Notes for Particular Systems. (line 132) * Stack backtrace: Debugging. (line 50) * Stack overflow <1>: Debugging. (line 7) * Stack overflow: Build Options. (line 278) * Static linking: Efficiency. (line 14) * stdarg.h: Headers and Libraries. (line 17) * stdio.h: Headers and Libraries. (line 11) * Stripped libraries: Known Build Problems. (line 28) * Sun: ABI and ISA. (line 201) * SunOS: Notes for Particular Systems. (line 120) * Systems: Notes for Particular Systems. (line 6) * Temporary memory: Build Options. (line 278) * Texinfo: Build Options. (line 347) * Text input/output: Efficiency. (line 153) * Thread safety: Reentrancy. (line 6) * Toom multiplication <1>: Other Multiplication. (line 6) * Toom multiplication <2>: Toom 4-Way Multiplication. (line 6) * Toom multiplication: Toom 3-Way Multiplication. (line 6) * Types: Nomenclature and Types. (line 6) * ui and si functions: Efficiency. (line 50) * Unbalanced multiplication: Unbalanced Multiplication. (line 6) * Upward compatibility: Compatibility with older versions. (line 6) * Useful macros and constants: Useful Macros and Constants. (line 6) * User-defined precision: Floating-point Functions. (line 6) * Valgrind: Debugging. (line 130) * Variable conventions: Variable Conventions. (line 6) * Version number: Useful Macros and Constants. (line 12) * Web page: Introduction to GMP. (line 34) * Windows: Notes for Particular Systems. (line 56) * x86: Notes for Particular Systems. (line 126) * x87: Notes for Particular Systems. (line 34) * XML: Build Options. (line 354)  File: gmp.info, Node: Function Index, Prev: Concept Index, Up: Top Function and Type Index *********************** [index] * Menu: * __GMP_CC: Useful Macros and Constants. (line 23) * __GMP_CFLAGS: Useful Macros and Constants. (line 24) * __GNU_MP_VERSION: Useful Macros and Constants. (line 10) * __GNU_MP_VERSION_MINOR: Useful Macros and Constants. (line 11) * __GNU_MP_VERSION_PATCHLEVEL: Useful Macros and Constants. (line 12) * _mpz_realloc: Integer Special Functions. (line 51) * abs <1>: C++ Interface Rationals. (line 43) * abs <2>: C++ Interface Integers. (line 42) * abs: C++ Interface Floats. (line 70) * ceil: C++ Interface Floats. (line 71) * cmp <1>: C++ Interface Floats. (line 72) * cmp <2>: C++ Interface Rationals. (line 44) * cmp <3>: C++ Interface Integers. (line 44) * cmp: C++ Interface Rationals. (line 45) * floor: C++ Interface Floats. (line 80) * gcd: BSD Compatible Functions. (line 82) * gmp_asprintf: Formatted Output Functions. (line 65) * gmp_errno: Random State Initialization. (line 55) * GMP_ERROR_INVALID_ARGUMENT: Random State Initialization. (line 55) * GMP_ERROR_UNSUPPORTED_ARGUMENT: Random State Initialization. (line 55) * gmp_fprintf: Formatted Output Functions. (line 29) * gmp_fscanf: Formatted Input Functions. (line 25) * GMP_LIMB_BITS: Low-level Functions. (line 508) * GMP_NAIL_BITS: Low-level Functions. (line 506) * GMP_NAIL_MASK: Low-level Functions. (line 516) * GMP_NUMB_BITS: Low-level Functions. (line 507) * GMP_NUMB_MASK: Low-level Functions. (line 517) * GMP_NUMB_MAX: Low-level Functions. (line 525) * gmp_obstack_printf: Formatted Output Functions. (line 79) * gmp_obstack_vprintf: Formatted Output Functions. (line 81) * gmp_printf: Formatted Output Functions. (line 24) * GMP_RAND_ALG_DEFAULT: Random State Initialization. (line 49) * GMP_RAND_ALG_LC: Random State Initialization. (line 49) * gmp_randclass: C++ Interface Random Numbers. (line 7) * gmp_randclass::get_f: C++ Interface Random Numbers. (line 45) * gmp_randclass::get_z_bits: C++ Interface Random Numbers. (line 39) * gmp_randclass::get_z_range: C++ Interface Random Numbers. (line 42) * gmp_randclass::gmp_randclass: C++ Interface Random Numbers. (line 13) * gmp_randclass::seed: C++ Interface Random Numbers. (line 33) * gmp_randclear: Random State Initialization. (line 62) * gmp_randinit: Random State Initialization. (line 47) * gmp_randinit_default: Random State Initialization. (line 7) * gmp_randinit_lc_2exp: Random State Initialization. (line 18) * gmp_randinit_lc_2exp_size: Random State Initialization. (line 32) * gmp_randinit_mt: Random State Initialization. (line 13) * gmp_randinit_set: Random State Initialization. (line 43) * gmp_randseed: Random State Seeding. (line 7) * gmp_randseed_ui: Random State Seeding. (line 9) * gmp_randstate_t: Nomenclature and Types. (line 46) * gmp_scanf: Formatted Input Functions. (line 21) * gmp_snprintf: Formatted Output Functions. (line 46) * gmp_sprintf: Formatted Output Functions. (line 34) * gmp_sscanf: Formatted Input Functions. (line 29) * gmp_urandomb_ui: Random State Miscellaneous. (line 8) * gmp_urandomm_ui: Random State Miscellaneous. (line 14) * gmp_vasprintf: Formatted Output Functions. (line 66) * gmp_version: Useful Macros and Constants. (line 18) * gmp_vfprintf: Formatted Output Functions. (line 30) * gmp_vfscanf: Formatted Input Functions. (line 26) * gmp_vprintf: Formatted Output Functions. (line 25) * gmp_vscanf: Formatted Input Functions. (line 22) * gmp_vsnprintf: Formatted Output Functions. (line 48) * gmp_vsprintf: Formatted Output Functions. (line 35) * gmp_vsscanf: Formatted Input Functions. (line 31) * hypot: C++ Interface Floats. (line 81) * itom: BSD Compatible Functions. (line 29) * madd: BSD Compatible Functions. (line 43) * mcmp: BSD Compatible Functions. (line 85) * mdiv: BSD Compatible Functions. (line 53) * mfree: BSD Compatible Functions. (line 105) * min: BSD Compatible Functions. (line 89) * MINT: BSD Compatible Functions. (line 21) * mout: BSD Compatible Functions. (line 94) * move: BSD Compatible Functions. (line 39) * mp_bitcnt_t: Nomenclature and Types. (line 42) * mp_bits_per_limb: Useful Macros and Constants. (line 7) * mp_exp_t: Nomenclature and Types. (line 27) * mp_get_memory_functions: Custom Allocation. (line 93) * mp_limb_t: Nomenclature and Types. (line 31) * mp_set_memory_functions: Custom Allocation. (line 21) * mp_size_t: Nomenclature and Types. (line 37) * mpf_abs: Float Arithmetic. (line 47) * mpf_add: Float Arithmetic. (line 7) * mpf_add_ui: Float Arithmetic. (line 9) * mpf_ceil: Miscellaneous Float Functions. (line 7) * mpf_class: C++ Interface General. (line 20) * mpf_class::fits_sint_p: C++ Interface Floats. (line 74) * mpf_class::fits_slong_p: C++ Interface Floats. (line 75) * mpf_class::fits_sshort_p: C++ Interface Floats. (line 76) * mpf_class::fits_uint_p: C++ Interface Floats. (line 77) * mpf_class::fits_ulong_p: C++ Interface Floats. (line 78) * mpf_class::fits_ushort_p: C++ Interface Floats. (line 79) * mpf_class::get_d: C++ Interface Floats. (line 82) * mpf_class::get_mpf_t: C++ Interface General. (line 66) * mpf_class::get_prec: C++ Interface Floats. (line 100) * mpf_class::get_si: C++ Interface Floats. (line 83) * mpf_class::get_str: C++ Interface Floats. (line 85) * mpf_class::get_ui: C++ Interface Floats. (line 86) * mpf_class::mpf_class: C++ Interface Floats. (line 38) * mpf_class::operator=: C++ Interface Floats. (line 47) * mpf_class::set_prec: C++ Interface Floats. (line 101) * mpf_class::set_prec_raw: C++ Interface Floats. (line 102) * mpf_class::set_str: C++ Interface Floats. (line 88) * mpf_clear: Initializing Floats. (line 37) * mpf_clears: Initializing Floats. (line 41) * mpf_cmp: Float Comparison. (line 7) * mpf_cmp_d: Float Comparison. (line 8) * mpf_cmp_si: Float Comparison. (line 10) * mpf_cmp_ui: Float Comparison. (line 9) * mpf_div: Float Arithmetic. (line 29) * mpf_div_2exp: Float Arithmetic. (line 53) * mpf_div_ui: Float Arithmetic. (line 33) * mpf_eq: Float Comparison. (line 17) * mpf_fits_sint_p: Miscellaneous Float Functions. (line 20) * mpf_fits_slong_p: Miscellaneous Float Functions. (line 18) * mpf_fits_sshort_p: Miscellaneous Float Functions. (line 22) * mpf_fits_uint_p: Miscellaneous Float Functions. (line 19) * mpf_fits_ulong_p: Miscellaneous Float Functions. (line 17) * mpf_fits_ushort_p: Miscellaneous Float Functions. (line 21) * mpf_floor: Miscellaneous Float Functions. (line 8) * mpf_get_d: Converting Floats. (line 7) * mpf_get_d_2exp: Converting Floats. (line 16) * mpf_get_default_prec: Initializing Floats. (line 12) * mpf_get_prec: Initializing Floats. (line 62) * mpf_get_si: Converting Floats. (line 27) * mpf_get_str: Converting Floats. (line 37) * mpf_get_ui: Converting Floats. (line 28) * mpf_init: Initializing Floats. (line 19) * mpf_init2: Initializing Floats. (line 26) * mpf_init_set: Simultaneous Float Init & Assign. (line 16) * mpf_init_set_d: Simultaneous Float Init & Assign. (line 19) * mpf_init_set_si: Simultaneous Float Init & Assign. (line 18) * mpf_init_set_str: Simultaneous Float Init & Assign. (line 25) * mpf_init_set_ui: Simultaneous Float Init & Assign. (line 17) * mpf_inits: Initializing Floats. (line 31) * mpf_inp_str: I/O of Floats. (line 37) * mpf_integer_p: Miscellaneous Float Functions. (line 14) * mpf_mul: Float Arithmetic. (line 19) * mpf_mul_2exp: Float Arithmetic. (line 50) * mpf_mul_ui: Float Arithmetic. (line 21) * mpf_neg: Float Arithmetic. (line 44) * mpf_out_str: I/O of Floats. (line 17) * mpf_pow_ui: Float Arithmetic. (line 41) * mpf_random2: Miscellaneous Float Functions. (line 36) * mpf_reldiff: Float Comparison. (line 29) * mpf_set: Assigning Floats. (line 10) * mpf_set_d: Assigning Floats. (line 13) * mpf_set_default_prec: Initializing Floats. (line 7) * mpf_set_prec: Initializing Floats. (line 65) * mpf_set_prec_raw: Initializing Floats. (line 72) * mpf_set_q: Assigning Floats. (line 15) * mpf_set_si: Assigning Floats. (line 12) * mpf_set_str: Assigning Floats. (line 18) * mpf_set_ui: Assigning Floats. (line 11) * mpf_set_z: Assigning Floats. (line 14) * mpf_sgn: Float Comparison. (line 33) * mpf_sqrt: Float Arithmetic. (line 36) * mpf_sqrt_ui: Float Arithmetic. (line 37) * mpf_sub: Float Arithmetic. (line 12) * mpf_sub_ui: Float Arithmetic. (line 16) * mpf_swap: Assigning Floats. (line 52) * mpf_t: Nomenclature and Types. (line 21) * mpf_trunc: Miscellaneous Float Functions. (line 9) * mpf_ui_div: Float Arithmetic. (line 31) * mpf_ui_sub: Float Arithmetic. (line 14) * mpf_urandomb: Miscellaneous Float Functions. (line 27) * mpn_add: Low-level Functions. (line 69) * mpn_add_1: Low-level Functions. (line 64) * mpn_add_n: Low-level Functions. (line 54) * mpn_addmul_1: Low-level Functions. (line 148) * mpn_and_n: Low-level Functions. (line 420) * mpn_andn_n: Low-level Functions. (line 435) * mpn_cmp: Low-level Functions. (line 284) * mpn_com: Low-level Functions. (line 460) * mpn_copyd: Low-level Functions. (line 469) * mpn_copyi: Low-level Functions. (line 465) * mpn_divexact_by3: Low-level Functions. (line 229) * mpn_divexact_by3c: Low-level Functions. (line 231) * mpn_divmod: Low-level Functions. (line 224) * mpn_divmod_1: Low-level Functions. (line 208) * mpn_divrem: Low-level Functions. (line 182) * mpn_divrem_1: Low-level Functions. (line 206) * mpn_gcd: Low-level Functions. (line 289) * mpn_gcd_1: Low-level Functions. (line 299) * mpn_gcdext: Low-level Functions. (line 305) * mpn_get_str: Low-level Functions. (line 346) * mpn_hamdist: Low-level Functions. (line 410) * mpn_ior_n: Low-level Functions. (line 425) * mpn_iorn_n: Low-level Functions. (line 440) * mpn_lshift: Low-level Functions. (line 260) * mpn_mod_1: Low-level Functions. (line 255) * mpn_mul: Low-level Functions. (line 114) * mpn_mul_1: Low-level Functions. (line 133) * mpn_mul_n: Low-level Functions. (line 103) * mpn_nand_n: Low-level Functions. (line 445) * mpn_neg: Low-level Functions. (line 98) * mpn_nior_n: Low-level Functions. (line 450) * mpn_perfect_square_p: Low-level Functions. (line 416) * mpn_popcount: Low-level Functions. (line 406) * mpn_random: Low-level Functions. (line 395) * mpn_random2: Low-level Functions. (line 396) * mpn_rshift: Low-level Functions. (line 272) * mpn_scan0: Low-level Functions. (line 380) * mpn_scan1: Low-level Functions. (line 388) * mpn_set_str: Low-level Functions. (line 361) * mpn_sqr: Low-level Functions. (line 125) * mpn_sqrtrem: Low-level Functions. (line 328) * mpn_sub: Low-level Functions. (line 90) * mpn_sub_1: Low-level Functions. (line 85) * mpn_sub_n: Low-level Functions. (line 76) * mpn_submul_1: Low-level Functions. (line 159) * mpn_tdiv_qr: Low-level Functions. (line 171) * mpn_xnor_n: Low-level Functions. (line 455) * mpn_xor_n: Low-level Functions. (line 430) * mpn_zero: Low-level Functions. (line 472) * mpq_abs: Rational Arithmetic. (line 31) * mpq_add: Rational Arithmetic. (line 7) * mpq_canonicalize: Rational Number Functions. (line 22) * mpq_class: C++ Interface General. (line 19) * mpq_class::canonicalize: C++ Interface Rationals. (line 37) * mpq_class::get_d: C++ Interface Rationals. (line 46) * mpq_class::get_den: C++ Interface Rationals. (line 58) * mpq_class::get_den_mpz_t: C++ Interface Rationals. (line 68) * mpq_class::get_mpq_t: C++ Interface General. (line 65) * mpq_class::get_num: C++ Interface Rationals. (line 57) * mpq_class::get_num_mpz_t: C++ Interface Rationals. (line 67) * mpq_class::get_str: C++ Interface Rationals. (line 47) * mpq_class::mpq_class: C++ Interface Rationals. (line 22) * mpq_class::set_str: C++ Interface Rationals. (line 49) * mpq_clear: Initializing Rationals. (line 16) * mpq_clears: Initializing Rationals. (line 20) * mpq_cmp: Comparing Rationals. (line 7) * mpq_cmp_si: Comparing Rationals. (line 17) * mpq_cmp_ui: Comparing Rationals. (line 15) * mpq_denref: Applying Integer Functions. (line 18) * mpq_div: Rational Arithmetic. (line 22) * mpq_div_2exp: Rational Arithmetic. (line 25) * mpq_equal: Comparing Rationals. (line 33) * mpq_get_d: Rational Conversions. (line 7) * mpq_get_den: Applying Integer Functions. (line 24) * mpq_get_num: Applying Integer Functions. (line 23) * mpq_get_str: Rational Conversions. (line 22) * mpq_init: Initializing Rationals. (line 7) * mpq_inits: Initializing Rationals. (line 12) * mpq_inp_str: I/O of Rationals. (line 23) * mpq_inv: Rational Arithmetic. (line 34) * mpq_mul: Rational Arithmetic. (line 15) * mpq_mul_2exp: Rational Arithmetic. (line 18) * mpq_neg: Rational Arithmetic. (line 28) * mpq_numref: Applying Integer Functions. (line 17) * mpq_out_str: I/O of Rationals. (line 15) * mpq_set: Initializing Rationals. (line 24) * mpq_set_d: Rational Conversions. (line 17) * mpq_set_den: Applying Integer Functions. (line 26) * mpq_set_f: Rational Conversions. (line 18) * mpq_set_num: Applying Integer Functions. (line 25) * mpq_set_si: Initializing Rationals. (line 31) * mpq_set_str: Initializing Rationals. (line 36) * mpq_set_ui: Initializing Rationals. (line 29) * mpq_set_z: Initializing Rationals. (line 25) * mpq_sgn: Comparing Rationals. (line 27) * mpq_sub: Rational Arithmetic. (line 11) * mpq_swap: Initializing Rationals. (line 56) * mpq_t: Nomenclature and Types. (line 16) * mpz_abs: Integer Arithmetic. (line 42) * mpz_add: Integer Arithmetic. (line 7) * mpz_add_ui: Integer Arithmetic. (line 9) * mpz_addmul: Integer Arithmetic. (line 25) * mpz_addmul_ui: Integer Arithmetic. (line 27) * mpz_and: Integer Logic and Bit Fiddling. (line 11) * mpz_array_init: Integer Special Functions. (line 11) * mpz_bin_ui: Number Theoretic Functions. (line 98) * mpz_bin_uiui: Number Theoretic Functions. (line 100) * mpz_cdiv_q: Integer Division. (line 13) * mpz_cdiv_q_2exp: Integer Division. (line 24) * mpz_cdiv_q_ui: Integer Division. (line 17) * mpz_cdiv_qr: Integer Division. (line 15) * mpz_cdiv_qr_ui: Integer Division. (line 21) * mpz_cdiv_r: Integer Division. (line 14) * mpz_cdiv_r_2exp: Integer Division. (line 25) * mpz_cdiv_r_ui: Integer Division. (line 19) * mpz_cdiv_ui: Integer Division. (line 23) * mpz_class: C++ Interface General. (line 18) * mpz_class::fits_sint_p: C++ Interface Integers. (line 45) * mpz_class::fits_slong_p: C++ Interface Integers. (line 46) * mpz_class::fits_sshort_p: C++ Interface Integers. (line 47) * mpz_class::fits_uint_p: C++ Interface Integers. (line 48) * mpz_class::fits_ulong_p: C++ Interface Integers. (line 49) * mpz_class::fits_ushort_p: C++ Interface Integers. (line 50) * mpz_class::get_d: C++ Interface Integers. (line 51) * mpz_class::get_mpz_t: C++ Interface General. (line 64) * mpz_class::get_si: C++ Interface Integers. (line 52) * mpz_class::get_str: C++ Interface Integers. (line 53) * mpz_class::get_ui: C++ Interface Integers. (line 54) * mpz_class::mpz_class: C++ Interface Integers. (line 7) * mpz_class::set_str: C++ Interface Integers. (line 56) * mpz_clear: Initializing Integers. (line 44) * mpz_clears: Initializing Integers. (line 48) * mpz_clrbit: Integer Logic and Bit Fiddling. (line 54) * mpz_cmp: Integer Comparisons. (line 7) * mpz_cmp_d: Integer Comparisons. (line 8) * mpz_cmp_si: Integer Comparisons. (line 9) * mpz_cmp_ui: Integer Comparisons. (line 10) * mpz_cmpabs: Integer Comparisons. (line 18) * mpz_cmpabs_d: Integer Comparisons. (line 19) * mpz_cmpabs_ui: Integer Comparisons. (line 20) * mpz_com: Integer Logic and Bit Fiddling. (line 20) * mpz_combit: Integer Logic and Bit Fiddling. (line 57) * mpz_congruent_2exp_p: Integer Division. (line 124) * mpz_congruent_p: Integer Division. (line 121) * mpz_congruent_ui_p: Integer Division. (line 123) * mpz_divexact: Integer Division. (line 101) * mpz_divexact_ui: Integer Division. (line 102) * mpz_divisible_2exp_p: Integer Division. (line 112) * mpz_divisible_p: Integer Division. (line 110) * mpz_divisible_ui_p: Integer Division. (line 111) * mpz_even_p: Miscellaneous Integer Functions. (line 18) * mpz_export: Integer Import and Export. (line 45) * mpz_fac_ui: Number Theoretic Functions. (line 95) * mpz_fdiv_q: Integer Division. (line 27) * mpz_fdiv_q_2exp: Integer Division. (line 38) * mpz_fdiv_q_ui: Integer Division. (line 31) * mpz_fdiv_qr: Integer Division. (line 29) * mpz_fdiv_qr_ui: Integer Division. (line 35) * mpz_fdiv_r: Integer Division. (line 28) * mpz_fdiv_r_2exp: Integer Division. (line 39) * mpz_fdiv_r_ui: Integer Division. (line 33) * mpz_fdiv_ui: Integer Division. (line 37) * mpz_fib2_ui: Number Theoretic Functions. (line 108) * mpz_fib_ui: Number Theoretic Functions. (line 106) * mpz_fits_sint_p: Miscellaneous Integer Functions. (line 10) * mpz_fits_slong_p: Miscellaneous Integer Functions. (line 8) * mpz_fits_sshort_p: Miscellaneous Integer Functions. (line 12) * mpz_fits_uint_p: Miscellaneous Integer Functions. (line 9) * mpz_fits_ulong_p: Miscellaneous Integer Functions. (line 7) * mpz_fits_ushort_p: Miscellaneous Integer Functions. (line 11) * mpz_gcd: Number Theoretic Functions. (line 30) * mpz_gcd_ui: Number Theoretic Functions. (line 35) * mpz_gcdext: Number Theoretic Functions. (line 45) * mpz_get_d: Converting Integers. (line 27) * mpz_get_d_2exp: Converting Integers. (line 35) * mpz_get_si: Converting Integers. (line 18) * mpz_get_str: Converting Integers. (line 46) * mpz_get_ui: Converting Integers. (line 11) * mpz_getlimbn: Integer Special Functions. (line 60) * mpz_hamdist: Integer Logic and Bit Fiddling. (line 29) * mpz_import: Integer Import and Export. (line 11) * mpz_init: Initializing Integers. (line 26) * mpz_init2: Initializing Integers. (line 33) * mpz_init_set: Simultaneous Integer Init & Assign. (line 27) * mpz_init_set_d: Simultaneous Integer Init & Assign. (line 30) * mpz_init_set_si: Simultaneous Integer Init & Assign. (line 29) * mpz_init_set_str: Simultaneous Integer Init & Assign. (line 34) * mpz_init_set_ui: Simultaneous Integer Init & Assign. (line 28) * mpz_inits: Initializing Integers. (line 29) * mpz_inp_raw: I/O of Integers. (line 59) * mpz_inp_str: I/O of Integers. (line 28) * mpz_invert: Number Theoretic Functions. (line 60) * mpz_ior: Integer Logic and Bit Fiddling. (line 14) * mpz_jacobi: Number Theoretic Functions. (line 66) * mpz_kronecker: Number Theoretic Functions. (line 74) * mpz_kronecker_si: Number Theoretic Functions. (line 75) * mpz_kronecker_ui: Number Theoretic Functions. (line 76) * mpz_lcm: Number Theoretic Functions. (line 54) * mpz_lcm_ui: Number Theoretic Functions. (line 55) * mpz_legendre: Number Theoretic Functions. (line 69) * mpz_lucnum2_ui: Number Theoretic Functions. (line 119) * mpz_lucnum_ui: Number Theoretic Functions. (line 117) * mpz_mod: Integer Division. (line 91) * mpz_mod_ui: Integer Division. (line 93) * mpz_mul: Integer Arithmetic. (line 19) * mpz_mul_2exp: Integer Arithmetic. (line 35) * mpz_mul_si: Integer Arithmetic. (line 20) * mpz_mul_ui: Integer Arithmetic. (line 22) * mpz_neg: Integer Arithmetic. (line 39) * mpz_nextprime: Number Theoretic Functions. (line 23) * mpz_odd_p: Miscellaneous Integer Functions. (line 17) * mpz_out_raw: I/O of Integers. (line 43) * mpz_out_str: I/O of Integers. (line 16) * mpz_perfect_power_p: Integer Roots. (line 27) * mpz_perfect_square_p: Integer Roots. (line 36) * mpz_popcount: Integer Logic and Bit Fiddling. (line 23) * mpz_pow_ui: Integer Exponentiation. (line 31) * mpz_powm: Integer Exponentiation. (line 8) * mpz_powm_sec: Integer Exponentiation. (line 18) * mpz_powm_ui: Integer Exponentiation. (line 10) * mpz_probab_prime_p: Number Theoretic Functions. (line 7) * mpz_random: Integer Random Numbers. (line 42) * mpz_random2: Integer Random Numbers. (line 51) * mpz_realloc2: Initializing Integers. (line 52) * mpz_remove: Number Theoretic Functions. (line 90) * mpz_root: Integer Roots. (line 7) * mpz_rootrem: Integer Roots. (line 13) * mpz_rrandomb: Integer Random Numbers. (line 31) * mpz_scan0: Integer Logic and Bit Fiddling. (line 37) * mpz_scan1: Integer Logic and Bit Fiddling. (line 38) * mpz_set: Assigning Integers. (line 10) * mpz_set_d: Assigning Integers. (line 13) * mpz_set_f: Assigning Integers. (line 15) * mpz_set_q: Assigning Integers. (line 14) * mpz_set_si: Assigning Integers. (line 12) * mpz_set_str: Assigning Integers. (line 21) * mpz_set_ui: Assigning Integers. (line 11) * mpz_setbit: Integer Logic and Bit Fiddling. (line 51) * mpz_sgn: Integer Comparisons. (line 28) * mpz_si_kronecker: Number Theoretic Functions. (line 77) * mpz_size: Integer Special Functions. (line 68) * mpz_sizeinbase: Miscellaneous Integer Functions. (line 23) * mpz_sqrt: Integer Roots. (line 17) * mpz_sqrtrem: Integer Roots. (line 20) * mpz_sub: Integer Arithmetic. (line 12) * mpz_sub_ui: Integer Arithmetic. (line 14) * mpz_submul: Integer Arithmetic. (line 30) * mpz_submul_ui: Integer Arithmetic. (line 32) * mpz_swap: Assigning Integers. (line 37) * mpz_t: Nomenclature and Types. (line 6) * mpz_tdiv_q: Integer Division. (line 41) * mpz_tdiv_q_2exp: Integer Division. (line 52) * mpz_tdiv_q_ui: Integer Division. (line 45) * mpz_tdiv_qr: Integer Division. (line 43) * mpz_tdiv_qr_ui: Integer Division. (line 49) * mpz_tdiv_r: Integer Division. (line 42) * mpz_tdiv_r_2exp: Integer Division. (line 53) * mpz_tdiv_r_ui: Integer Division. (line 47) * mpz_tdiv_ui: Integer Division. (line 51) * mpz_tstbit: Integer Logic and Bit Fiddling. (line 60) * mpz_ui_kronecker: Number Theoretic Functions. (line 78) * mpz_ui_pow_ui: Integer Exponentiation. (line 33) * mpz_ui_sub: Integer Arithmetic. (line 16) * mpz_urandomb: Integer Random Numbers. (line 14) * mpz_urandomm: Integer Random Numbers. (line 23) * mpz_xor: Integer Logic and Bit Fiddling. (line 17) * msqrt: BSD Compatible Functions. (line 63) * msub: BSD Compatible Functions. (line 46) * mtox: BSD Compatible Functions. (line 98) * mult: BSD Compatible Functions. (line 49) * operator%: C++ Interface Integers. (line 30) * operator/: C++ Interface Integers. (line 29) * operator<<: C++ Formatted Output. (line 20) * operator>> <1>: C++ Formatted Input. (line 11) * operator>>: C++ Interface Rationals. (line 77) * pow: BSD Compatible Functions. (line 71) * rpow: BSD Compatible Functions. (line 79) * sdiv: BSD Compatible Functions. (line 55) * sgn <1>: C++ Interface Rationals. (line 50) * sgn <2>: C++ Interface Integers. (line 57) * sgn: C++ Interface Floats. (line 89) * sqrt <1>: C++ Interface Integers. (line 58) * sqrt: C++ Interface Floats. (line 90) * trunc: C++ Interface Floats. (line 91) * xtom: BSD Compatible Functions. (line 34)