代码搜索：evaluate
找到约 3,619 项符合「evaluate」的源代码
代码结果 3,619
www.eeworm.com/read/383744/8921865
m q412.m
% 求极值
fn=' 2*exp(-x)*sin(x) '; % define function for min
ezplot 2*exp(-x)*sin(x),grid on
xmin=fminbnd(fn ,-4,2 ) % search over range 2
www.eeworm.com/read/427128/8974522
cpp testexpression.cpp
#include
#include
#include "RinexObsStream.hpp"
#include "Expression.hpp"
using namespace std;
using namespace gpstk;
int main(int argc, char* argv[])
{
short test=1;
www.eeworm.com/read/283541/9010887
cpp evaluatem.cpp
//计算后缀表达式的值Evaluatem.cpp
#include
#include
#include
#include
typedef float ElemType;
#include "Evaluate.cpp"
void main()
{char p[40];
float y;
p
www.eeworm.com/read/184144/9120148
cls srvinvestigate.cls
VERSION 1.0 CLASS
BEGIN
MultiUse = -1 'True
Persistable = 0 'NotPersistable
DataBindingBehavior = 0 'vbNone
DataSourceBehavior = 0 'vbNone
MTSTransactionMode = 0 'NotAnMTSObject
www.eeworm.com/read/281872/9128316
cc complex.cc
/* mkfilter -- given n, compute recurrence relation
to implement Butterworth, Bessel or Chebyshev filter of order n
A.J. Fisher, University of York
September 199
www.eeworm.com/read/183443/9158873
m compilemex.m
clear mex;
% class smosvctutor
cd @smosvctutor
fprintf(1, 'recompiling method @smosvctutor/smosvctrain...\n');
mex smosvctrain.cpp InfCache.cpp LrrCache.cpp SmoTutor.cpp -lm
cd ..
% class string
www.eeworm.com/read/380114/9163580
txt evaluatem.txt
//计算后缀表达式值的文件Evaluate.cpp
const int SM=40;
#include"linearStack2.cpp"
float Evaluate(char* str)
//计算由str字符串所表示的后缀表达式的值,
//表达式要以'@'字符结束.
{LinStack S;//创建对象S
S.InitStack(SM);//初始化栈
istrstream
www.eeworm.com/read/380114/9163603
cpp evaluatem.cpp
//计算后缀表达式的值Evaluatem.cpp
#include
#include
#include
#include
#include
typedef float ElemType;
#include "Evaluate.cpp"
void main()
{char p
www.eeworm.com/read/183295/9171547
cpp evaluatem.cpp
//计算后缀表达式的值Evaluatem.cpp
#include
#include
#include
#include
typedef float ElemType;
#include "Evaluate.cpp"
void main()
{char p[40];
float y;
p
www.eeworm.com/read/374411/9407090
m ise.m
function v = ise(p,q,type)
%
% ise(p,q [,'type']) -- estimate the integrated squared error between
% two densities p,q
% type:
% [double] -- use "epsilon-exact" prod