代码搜索：Difference
找到约 3,389 项符合「Difference」的源代码
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www.eeworm.com/read/102720/15762130
txt readme.txt
This directory contains the full source code listing of MINIX in two variants:
the full code and the book version. The difference is that the code in the
book is an abridged version. To keep the l
www.eeworm.com/read/182374/9205857
m runfda.m
function [Max,k,BestSolutions]=RunFDA(PopSize,NumbVar,T,F,CantGen,MaximumFunction,Card,Cliques,Elitism)
% The only difference between this FDA implementation for the HP protein model
% and the ma
www.eeworm.com/read/360995/10069919
m dd_ex6.m
% Show the difference between the supervised Mixture of Gaussians (as
% implemented in Prtools), the unsupervised mog_dd and the
% 'semi-supervised' outmog_dd where one cluster is fixed to model the
%
www.eeworm.com/read/162188/10327794
src mlgradre.src
/*
** mlgradre.src - Forward Difference Derivatives using Richardson
** Extrapolation for Maximum Likelihood Estimation
**
** (C) Copyright 1988-1995 Aptech Systems, Inc.
** All R
www.eeworm.com/read/161094/10454318
c zdistribute_mark.c
#include "superlu_zdefs.h"
/*
* NOTE zdistribute_mark.c
* ====
* This version is faster for Mark Baertschy's matrices, remains to be
* tested for the other matrices.
*
* Main difference: there
www.eeworm.com/read/424063/10500530
m lqgcost.m
function f = lqgcost(x)
%LQGCOST Function which returns the difference between the
% input and the actual output.
% Returns a measure of the tracking performance of the system.
% Copyright (c) 1
www.eeworm.com/read/419697/10842977
c alg121.c
/*
* POISSON EQUATION FINITE-DIFFERENCE ALGORITHM 12.1
*
* To approximate the solution to the Poisson equation
* DEL(u) = F(x,y), a
www.eeworm.com/read/419697/10843070
c alg124.c
/*
* WAVE EQUATION FINITE-DIFFERENCE ALGORITHM 12.4
*
* To approximate the solution to the wave equation:
* subject to the boundary conditions
* u(0,t) = u(l,t) = 0, 0 < t <
www.eeworm.com/read/462153/7208398
m divergence.m
function [divF] = divergence(F,coeff)
% compute the divergence of the gradient of f
% multiplied by a diffusion coefficient
% forward difference scheme
%
% Copyright 2006 Paolo Favaro (p.favaro@h
www.eeworm.com/read/451547/7461917
m dd_ex6.m
% Show the difference between the supervised Mixture of Gaussians (as
% implemented in Prtools), the unsupervised mog_dd and the
% 'semi-supervised' outmog_dd where one cluster is fixed to model the
%