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/250533/12400646
cpp lab5_1.cpp
// lab5_1.cpp : 定义控制台应用程序的入口点。
//
#include "stdafx.h"
#include "iostream"
using namespace std;
void fn1(); //函数原型声明
int x=1,y=2; //定义全局变量
int _tmain(int argc, _TCHAR* argv[])
{
www.eeworm.com/read/215302/15065727
m initialize_variable.m
function f = initialize_variable(N)
V = 6;
K = 8;
MIN = 0;
MAX = 1;
for i = 1 : N
for j = 1 : V
f(i,j) = MIN + (MAX - MIN)*rand;
end
f(
www.eeworm.com/read/169602/5419905
cpp cpcc.cpp
/* Copyright (C) 2003 MySQL AB
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Fou
www.eeworm.com/read/168845/5430090
c compile.c
/*
* Copyright 1993, 2000 Christopher Seiwald.
*
* This file is part of Jam - see jam.c for Copyright information.
*/
/* This file is ALSO:
* Copyright 2001-2004 David Abrahams.
* Di
www.eeworm.com/read/370047/9621530
m bspeval.m
function bspeval
%
% Function Name:
%
% bspeval - Evaluate a univariate B-Spline.
%
% Calling Sequence:
%
% p = bspeval(d,c,k,u)
%
% Parameters:
%
% d : Degree of the B-Spline.
www.eeworm.com/read/172010/9726830
m rhs1.m
function dydt = rhs1(t,y)
% rhs1 Evaluate right hand side of dy/dt = t - 2*y
dydt = t - 2*y;
www.eeworm.com/read/172010/9726851
m rhs2.m
function dydt = rhs2(x,y)
% rhs2 Evaluate right hand side of dy/dt = -y
dydt = - y;
www.eeworm.com/read/414697/11105646
m mimo2sen.m
function f=mimo2sen(x,y,E,sign,w,ps,ms,qs,order,row,col,input_delay,pds,qds)
% f=mimopartial(x,y,e,sign,w,ps,ms,qs,order,row,col,input_delay,pd)
% function to compute the the partial sensitivity fun
www.eeworm.com/read/414697/11105729
m mimopartial.m
function f=mimopartial(x,y,E,signo,w,ps,ms,qs,order,row,col,input_delay,pds,qds)
% f=mimopartial(x,y,e,sign,w,ps,ms,qs,order,row,col,input_delay,pd)
% function to compute the the partial sensitivity
www.eeworm.com/read/414697/11105837
m mimopartial_con.m
function [f,g]=mimopartial(x,y,E,signo,w,ps,ms,qs,order,row,col,input_delay,pds,qds)
% f=mimopartial(x,y,e,sign,w,ps,ms,qs,order,row,col,input_delay,pd)
% function to compute the the partial sensiti