代码搜索:computing

找到约 6,514 项符合「computing」的源代码

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m kineticsdata2.m

%KineticsData % 参考书:Frerich Keil, et al. ed., Scientific computing in chemical engineering II,1999, P.351 % Time,min y1=x1 y2=x2 y3=x3 Kinetics =... [ 15 0.695 0.312 0.0
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m kineticsdata2.m

%KineticsData % 参考书:Frerich Keil, et al. ed., Scientific computing in chemical engineering II,1999, P.351 % Time,min y1=x1 y2=x2 y3=x3 Kinetics =... [ 15 0.695 0.312 0.0
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m readme.m

This is a parsed code (MATLAB P files) version of the simulation routines accompanying Vojislav KECMAN's Book: LEARNING AND SOFT COMPUTING Support Vect
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m read about simulational experiments.m

Vojislav KECMAN's Book: LEARNING AND SOFT COMPUTING Support Vector Machines, Neural Networks and Fuzzy Logic Models The MIT Press, Cambridge, MA, 2000 ISBN 0
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c zlassq.c

#include "f2c.h" /* Subroutine */ int zlassq_(integer *n, doublecomplex *x, integer *incx, doublereal *scale, doublereal *sumsq) { /* -- LAPACK auxiliary routine (version 2.0) -- U
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m kineticsdata2.m

%KineticsData % 参考书:Frerich Keil, et al. ed., Scientific computing in chemical engineering II,1999, P.351 % Time,min y1=x1 y2=x2 y3=x3 Kinetics =... [ 15 0.695 0.312 0.0
www.eeworm.com/read/161189/10439857

m tcdf.m

% % p=mytcdf(x,nu) % % Computes the probability that a t random variable with nu degrees of % freedom is less than or equal to x. The computation is done by % transformation to the standard normal,
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m tcdf.m

% % p=mytcdf(x,nu) % % Computes the probability that a t random variable with nu degrees of % freedom is less than or equal to x. The computation is done by % transformation to the standard normal,
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c clatms.c

/* -- translated by f2c (version 19940927). You must link the resulting object file with the libraries: -lf2c -lm (in that order) */ #include "f2c.h" /* Table of constant values */ static co
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h itcc.h

/* Itcc.h Header file for Itcc class Copyright (c) 2005, 2006 by Hyuk Cho Copyright (c) 2003, 2004 by Hyuk Cho, Yuqiang Guan, and Suvrit Sra {hy