代码搜索：Sampling

找到约 3,969 项符合「Sampling」的源代码

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m hmc.m

function [samples, energies, diagn] = hmc(f, x, options, gradf, varargin) %HMC Hybrid Monte Carlo sampling. % % Description % SAMPLES = HMC(F, X, OPTIONS, GRADF) uses a hybrid Monte Carlo % algorithm
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www.eeworm.com/read/396844/2406698

m demmet1.m

function demmet1(plot_wait) %DEMMET1 Demonstrate Markov Chain Monte Carlo sampling on a Gaussian. % % Description % The problem consists of generating data from a Gaussian in two % dimensions using a
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www.eeworm.com/read/385462/2591697

h perfmon_default_smpl.h

/* * Copyright (C) 2002-2003 Hewlett-Packard Co * Stephane Eranian * * This file implements the default sampling buffer format * for Linux/ia64 perfmon subsyste
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tim input_square1k.tim

Remark : Imported from 'input_square1k.MCH' Number of record : 256 Record type number : INTEGER16 Signal frequency : 0 Hz Sampling rate : 20000 Hz File format
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m hmc.m

function [samples, energies, diagn] = hmc(f, x, options, gradf, varargin) %HMC Hybrid Monte Carlo sampling. % % Description % SAMPLES = HMC(F, X, OPTIONS, GRADF) uses a hybrid Monte Carlo % algo
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www.eeworm.com/read/359369/2978497

m demmet1.m

function demmet1(plot_wait) %DEMMET1 Demonstrate Markov Chain Monte Carlo sampling on a Gaussian. % % Description % The problem consists of generating data from a Gaussian in two % dimensions usi
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www.eeworm.com/read/476081/6773424

m ip_07_01.m

% MATLAB script for Illustrated Problem 7.1. echo on T=1; delta_T=T/200; % sampling interval alpha=0.5; % rolloff factor fc=40/T; % carrier frequency A_m=1;
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m hmc.m

function [samples, energies, diagn] = hmc(f, x, options, gradf, varargin) %HMC Hybrid Monte Carlo sampling. % % Description % SAMPLES = HMC(F, X, OPTIONS, GRADF) uses a hybrid Monte Carlo % algorithm
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www.eeworm.com/read/170936/9779325

m demmet1.m

function demmet1(plot_wait) %DEMMET1 Demonstrate Markov Chain Monte Carlo sampling on a Gaussian. % % Description % The problem consists of generating data from a Gaussian in two % dimensions using a
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www.eeworm.com/read/415313/11076381

m hmc.m

function [samples, energies, diagn] = hmc(f, x, options, gradf, varargin) %HMC Hybrid Monte Carlo sampling. % % Description % SAMPLES = HMC(F, X, OPTIONS, GRADF) uses a hybrid Monte Carlo % algorithm
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