代码搜索：Solver
找到约 5,733 项符合「Solver」的源代码
代码结果 5,733
www.eeworm.com/read/361001/10069721
m demo2.m
tt=color;
try
fprintf('Computing distances...');
Dis=distance(X);
fprintf('done\n');
catch
error('ERROR! Are you sure distance.m is in the path?');
end;
subplot(2,1,1);
scatter3(X(1,:),X
www.eeworm.com/read/164050/10133998
m exm09714_0.m
%exm09714_0.m 例9.7.1.4_1的主运行程序
% 它调用exm9714_1.mdl
clc
xsym=dsolve('D2x+100*Dx+0.9999*x=0','x(0)=1,Dx(0)=0','t')
dxsym=diff(xsym,'t')
t=(0:5000)/10;x=eval(char(dxsym)); %产生绘解析解图形的数
www.eeworm.com/read/280731/10297086
h gabasesolver.h
#ifndef _GABASESOLVER_
#define _GABASESOLVER_
#include "UOFTerminator.h"
#include "PopBaseSolver.h"
#include "GAInfo.h"
#include "CommonBase.h"
class PopSolution;
class GABaseSolver : pub
www.eeworm.com/read/280595/10312190
m train_ocr.m
% TRAIN_OCR Training of OCR classifier based on multiclass SVM.
%
% Description:
% The following steps are performed:
% - Training set is created from data in directory ExamplesDir.
% - Mult
www.eeworm.com/read/221940/6955905
cs application12.cs
namespace Opus6
{
using System;
using System.Drawing;
using System.Windows.Forms;
[Copyright("Copyright (c) 2001 by Bruno R. Preiss, P.Eng."), Version("$Id: Application12.cs,v 1
www.eeworm.com/read/465716/7052485
py strategypattern.py
#: c06:StrategyPattern.py
# The strategy interface:
class FindMinima:
# Line is a sequence of points:
def algorithm(self, line) : pass
# The various strategies:
class LeastSquares(FindMi
www.eeworm.com/read/455033/7378567
edp sparse-cmatrix.edp
// sparse matrix test ---
// example of the new matrix feature in version 1.40
// -------------------------------------------------
mesh TH = square(3,4);
mesh th = square(2,3);
mesh Th = square(
www.eeworm.com/read/455033/7378577
edp sparse-matrix.edp
// sparse matrix test ---
// example of the new matrix feature in version 1.40
// -------------------------------------------------
mesh TH = square(3,4);
mesh th = square(2,3);
mesh Th = square(
www.eeworm.com/read/299459/7850706
m train_ocr.m
% TRAIN_OCR Training of OCR classifier based on multiclass SVM.
%
% Description:
% The following steps are performed:
% - Training set is created from data in directory ExamplesDir.
% - Mult