代码搜索:Reduction

找到约 701 项符合「Reduction」的源代码

代码结果 701
www.eeworm.com/read/172474/9706002

m mult.m

function P=mult(P) %MULT %Mutiply a row by a matrix by a constant. %Used in row reduction. %Calling format A=mult(A) %Copyright Gareth Williams, Stetson University %gwilliam@stetson.edu, ht
www.eeworm.com/read/172474/9706022

m div.m

function P=div(P) %DIV %Divide a row by a matrix by nonzero constant. %Used in row reduction. %Calling format: A=div(A) %Copyright Gareth Williams, Stetson University %gwilliam@stetson.edu,
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m transf.m

function P=transf(P) %TRANSF %Elementary row transformations for row reduction. %Add multiples of rows, multiply, divide, swap. %Gives choice of format - rational numbers or decimal numbers. %Cal
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c knapsack.c

/* Author: Pate Williams (c) 1997 Solution of the subset problem using LLL reduction. See "Handbook of Applied Cryptography" by Alfred J. Menezes et al pages 120 - 121. */ #inclu
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c rgbvaryw.c

/* rgbvaryW.c - an improved rgbvary.c, currently runs on Microsoft Windows The color reduction filter (rgbvary.c) uses floating point but none of the computations exceed a 16bit integer.
www.eeworm.com/read/427960/8909858

cpp irp.cpp

// // Program to generate code for reduction modulo an irreducible trinomial or pentanomial // over the field GF(2^m), m a prime // // cl /O2 /GX irp.cpp // // code is generated and can be cut-a
www.eeworm.com/read/197407/7998121

cpp glist.cpp

// test formula-based linear list class // with array expansion and reduction #include #include "glist.h" #include "xcept.h" void main(void) { try { LinearList
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c monty.c

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

// // Program to generate code for reduction modulo an irreducible trinomial or pentanomial // over the field GF(2^m), m a prime // // cl /O2 /GX irp.cpp // // code is generated and can be cut-a
www.eeworm.com/read/484921/6568905

m klfda.m

function [T,Z]=KLFDA(K,Y,r,metric,kNN,reg) % % Kernel Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction % % Usage: % [T,Z]=KLFDA(K,X,Y,r,metric) % % Input: %