代码搜索：montecarlo
找到约 154 项符合「montecarlo」的源代码
代码结果 154
www.eeworm.com/read/486104/6543539
m montecarlo.m
function root = Montecarlo(f,B,x0,eps)
format long;
if(nargin==3)
eps=1.0e-4;
end
Fx = subs(sym(f),findsym(sym(f)),x0);
while abs(Fx)>eps
Fx = subs(sym(f),findsym(sym(f)),x0);
Fx
www.eeworm.com/read/405567/11460383
m montecarlo.m
function root = Montecarlo(f,B,x0,eps)
format long;
if(nargin==3)
eps=1.0e-4;
end
Fx = subs(sym(f),findsym(sym(f)),x0);
while abs(Fx)>eps
Fx = subs(sym(f),findsym(sym(f)),x0);
Fx
www.eeworm.com/read/338238/12317302
cpp montecarlo.cpp
#include "MonteCarlo.h"
#include
#include
MonteCarlo::~MonteCarlo() {
for (int i=0; iN; i++) {
delete[] mc_Pxi[i];
}
delete[] mc_Pxi;
mc_Pxi = 0;
delete[]
www.eeworm.com/read/338238/12317314
h montecarlo.h
#include "InferenceAlgorithm.h"
#ifndef __MONTE_CARLO__
#define __MONTE_CARLO__
class MonteCarlo : public InferenceAlgorithm {
/**
This class defines the interface for making inference using
www.eeworm.com/read/124283/14579320
texi montecarlo.texi
@cindex Monte Carlo integration
@cindex stratified sampling in monte carlo integration
This chapter describes routines for multidimensional Monte Carlo
integration. These include the traditional Mont
www.eeworm.com/read/218576/14914675
java montecarlo.java
public class MonteCarlo {
private String T;
private String P;
private int f[];
private int p;
MonteCarlo(String T,String P,int p){
this.T = T;
this.P = P;
int l = P.length();
www.eeworm.com/read/212047/15166904
texi montecarlo.texi
@cindex Monte Carlo integration
This chapter describes routines for multidimensional Monte Carlo
integration. These include the traditional Monte Carlo method and
adaptive algorithms such as @sc{veg
www.eeworm.com/read/457216/1599681
m montecarlo.m
function prob = montecarlo(A,b,Sigma,notrials);
% estimates probability than random vector x in R2
% with mean zero and covariance Sigma satisfies Ax
www.eeworm.com/read/167728/5453134
texi montecarlo.texi
@cindex Monte Carlo integration
@cindex stratified sampling in monte carlo integration
This chapter describes routines for multidimensional Monte Carlo
integration. These include the traditional Mont