代码搜索:algorith

找到约 373 项符合「algorith」的源代码

代码结果 373
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m maxitmess.m

function s = maxitmess() %MAXITMESS Create a standard error message when training reaches max. iterations. % % Description % S = MAXITMESS returns a standard string that it used by training % algorith
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m thomas.m

function x = thomas(varargin) % THOMAS Solves a tridiagonal linear system % % x = THOMAS(A,d) solves a tridiagonal linear system using the very efficient % Thomas Algorith. The vector x i
www.eeworm.com/read/350746/10713456

m oldthomas.m

function x = thomas(varargin) % THOMAS Solves a tridiagonal linear system % % x = THOMAS(A,d) solves a tridiagonal linear system using the very efficient % Thomas Algorith. The vector x i
www.eeworm.com/read/213905/15122661

m thomas.m

function x = thomas(varargin) % THOMAS Solves a tridiagonal linear system % % x = THOMAS(A,d) solves a tridiagonal linear system using the very efficient % Thomas Algorith. The vector x i
www.eeworm.com/read/209211/4982899

c md4.c

#include "os.h" #include /* * This MD4 is implemented from the description in Stinson's Cryptography, * theory and practice. -- presotto */ /* * Rotate ammounts used in the algorith
www.eeworm.com/read/209211/4986345

c md4.c

#include "os.h" #include /* * This MD4 is implemented from the description in Stinson's Cryptography, * theory and practice. -- presotto */ /* * Rotate ammounts used in the algorith
www.eeworm.com/read/435707/1861942

c md4.c

#include "os.h" #include "libsec.h" /* * This MD4 is implemented from the description in Stinson's Cryptography, * theory and practice. -- presotto */ /* * Rotate ammounts used in the algorith
www.eeworm.com/read/282683/9074163

m sdecca2.m

function [P, newY, newE, cost, c]= sdecca2(Y, snn, regularizer, relative) % doing semidefinitve embedding/MVU with output being parameterized by graph % laplacian's eigenfunctions.. % % the algorith
www.eeworm.com/read/445300/7596744

cpp cm.cpp

#if 0 CM is the static context modeling archiver. (C) Bulat Ziganshin 1993, 97, 98 My email addresses: FIDO 2:5049/36.26 bulatz@fort.tatarstan.ru The algorith
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m sdecca2.m

function [P, newY, newE, cost, c]= sdecca2(Y, snn, regularizer, relative) % doing semidefinitve embedding/MVU with output being parameterized by graph % laplacian's eigenfunctions.. % % the algorith