代码搜索:Multiplication

找到约 1,176 项符合「Multiplication」的源代码

代码结果 1,176
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m mrt.m

function mato=mrt(mati,vector) % Matrix row vector multiplication (scaling of matrix columns) % Replaces "mvt" % Written by: E. R.: June 9, 2004 % Last updated: % % mato=mrt(mati,vector
www.eeworm.com/read/367182/2851369

c ots_mul.c

/* Software floating-point emulation: multiplication. Copyright (C) 1997,1999,2004 Free Software Foundation, Inc. This file is part of the GNU C Library. Contributed by Richard Henderson (rth
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f90 read_float_1.f90

! { dg-do run } ! PR18218 ! The IO library has an algorithm that involved repeated multiplication by 10, ! resulting in introducing large cumulative floating point errors. program foo character*20 s
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c pr19683-1.c

/* From PR rtl-optimization/19683. On little-endian MIPS targets, reload would incorrectly inherit the high part of the multiplication result. */ /* { dg-do run { target mips*-*-* } } */ exte
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c pr19683-1.c

/* From PR rtl-optimization/19683. On little-endian MIPS targets, reload would incorrectly inherit the high part of the multiplication result. */ /* { dg-do run { target mips*-*-* } } */ exte
www.eeworm.com/read/147096/12585334

m gfconv.m

function c = gfconv(a, b, p) %GFCONV GF(P) polynomial convolution or GF(P^M) element multiplication. % C = GFCONV(A, B) computes the convolution between two GF(2) % polynomials A and B.
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c montmult.c

/* Author: Pate Williams (c) 1997 Montgomery multiplication. See "Handbook of Applied Cryptography" by Alfred J. Menezes et al Section 14.3.2 pages 600 - 603. */ #include
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m gfconv.m

function c = gfconv(a, b, p) %GFCONV GF(P) polynomial convolution or GF(P^M) element multiplication. % C = GFCONV(A, B) computes the convolution between two GF(2) % polynomials A and B.
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m mvt.m

function mato=mvt(mati,vector) % Matrix vector multiplication (scaling of matrix columns) % Written by: E. R.: June 9, 2004 % Last updated: % % mato=mvt(mati,vector) % INPUT % mati input m
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m times.m

function y = times(x,y) % Elementwise multiplication x.*y for ADTAYL objects. % Either of x or y can be numeric, and either can be scalar (1 by 1). If % neither is scalar, they must have the same s