代码搜索：eigenvector

找到约 273 项符合「eigenvector」的源代码

代码结果 273
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f90 eigen1d.f90

!*** ! The following code is for use with the LAPACK library !*** subroutine eigen(n,H,eigenval,eigenvec) ! ! Return the eigenvector of H with the smallest eigenvalue ! H assumed symmetric !
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www.eeworm.com/read/362500/9996097

m plsdemo.m

echo on %PLSDEMO Demonstrates PLS and PCR functions % % This demonstration illustrates the use of the PLS and % PCR functions in the PLS_Toolbox. echo off %Copyright Eigenvector Research, In
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www.eeworm.com/read/419697/10842868

c alg091.c

/* * POWER METHOD ALGORITHM 9.1 * * To approximate the dominant eigenvalue and an associated * eigenvector of the n by n matrix A given a nonzero vector x: * * INPUT: Dimension n; matr
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www.eeworm.com/read/419697/10843088

c alg093.c

/* * INVERSE POWER METHOD ALGORITHM 9.3 * * To approximate an eigenvalue and an associated eigenvector of the * n by n matrix A given a nonzero vector x: * * INPUT: Dimension n; matrix
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www.eeworm.com/read/449504/7502324

m pcoa.m

% PCoA: Principal coordinates analysis of a distance matrix. Eigenvector % coefficients represent coordinates of objects. % % Usage: [evects,evals] = pcoa(dist) % % dist = [n
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m pca_an.m

% eigenvector projection (arbitrary dimension) % argument is pattern matrix (data) and desired output dimensionality (odim) % noutf - number of output attributes % Output: rpm - returns projecte
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www.eeworm.com/read/140698/13066473

c alg091.c

/* * POWER METHOD ALGORITHM 9.1 * * To approximate the dominant eigenvalue and an associated * eigenvector of the n by n matrix A given a nonzero vector x: * * INPUT: Dimension n; matr
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www.eeworm.com/read/140698/13066725

c alg093.c

/* * INVERSE POWER METHOD ALGORITHM 9.3 * * To approximate an eigenvalue and an associated eigenvector of the * n by n matrix A given a nonzero vector x: * * INPUT: Dimension n; matrix
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www.eeworm.com/read/375212/9369179

m gaselect.m

function gaselect(fig,action) %GASELECT Subroutine of GENALG for Variable Selection % Please see GENALG % Copyright % Eigenvector Technologies % 1995 % Variables set by GUI handl = get(
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www.eeworm.com/read/375212/9369167

m ridgecg.m

function [b,thetamin,cumpress] = ridgecg(xblock,yblock,tmaxm,divs,split,gui,action); %RIDGECG Ridge regression by cross validation for use with MODLGUI % Copyright % Eigenvector Technologies %
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