代码搜索：Variance

找到约 2,271 项符合「Variance」的源代码

代码结果 2,271
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m orthexpanalysis3.m

function OrthExpAnalysis3 % 正交试验的方差分析Variance Analysis of Orthogonal experiment % % Author: HUANG Huajiang % Copyright 2003 UNILAB Research Center, % East China University of Science and T
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www.eeworm.com/read/366533/9809884

m quasirandn_.m

function x=quasirandn %%% purpose:generating of normally distributed %%% quasi uniform distributed: sobol sequences %%% mean: 0 %%% variance: 1 %%% Moro method employed %%% Box-Muller是经典的算法，实
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www.eeworm.com/read/170249/9813422

m dscale.m

function [X,Xscale]=dscale(X,Xscale) % DSCALE % ------ % [Xs,Xscale]=dscale(X) scales data to zero mean and variance 1. % % Xs=dscale(X,Xscale) scales data using the scaling param
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www.eeworm.com/read/365862/9843038

m kernel_reduce_merge.m

function g = kernel_reduce_merge(g, N, adjustP) % Matt Ridley's algorithm: conserves mean, optionally adjust variance at end % Based on the GMM smallest-weight clustering algorithm as described in
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www.eeworm.com/read/425643/10342513

m orthexpanalysis4.m

function OrthExpAnalysis4 % 正交试验的方差分析Variance Analysis of Orthogonal experiment % % Author: HUANG Huajiang % Copyright 2003 UNILAB Research Center, % East China University of Science and T
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www.eeworm.com/read/425643/10342531

m orthexpanalysis3.m

function OrthExpAnalysis3 % 正交试验的方差分析Variance Analysis of Orthogonal experiment % % Author: HUANG Huajiang % Copyright 2003 UNILAB Research Center, % East China University of Science and T
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www.eeworm.com/read/351998/10589068

m kernel_reduce_merge.m

function g = kernel_reduce_merge(g, N, adjustP) % Matt Ridley's algorithm: conserves mean, optionally adjust variance at end % Based on the GMM smallest-weight clustering algorithm as described in
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www.eeworm.com/read/159014/10701731

m calccost.m

function [J,P,F] = calccost(N,options) % [J,P,F] = calccost(N) % % With all arguments: % [J,P,F] = calccost(N,options) % % Calculate the stationary variance and cost of the Jitterbug % system "N". For
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www.eeworm.com/read/159014/10701733

m calccostiter.m

function [J,Pret] = calccostiter(N,options) % [J,P] = calccostiter(N) % [J,P] = calccostiter(N,options) % % Calculate steady-state variance and cost for the state when system jumps % between timing no
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www.eeworm.com/read/449771/7496828

m orthexpanalysis4.m

function OrthExpAnalysis4 % 正交试验的方差分析Variance Analysis of Orthogonal experiment % % Author: HUANG Huajiang % Copyright 2003 UNILAB Research Center, % East China University of Science and T
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