代码搜索：Matrices

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www.eeworm.com/read/205036/15328958

m c_ttensor_doc.m

%% Tucker Tensors % Tucker format is a decomposition of a tensor X as the product of a core % tensor G and matrices (e.g., A,B,C) in each dimension. In other words, a % tensor X is expressed as: %
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www.eeworm.com/read/201006/15418381

m basicpca.m

function [s, V, D] = basicpca(x, dim) % BASICPCA do simple linear PCA % % Usage: % s = BASICPCA(x, dim) % returns dim first PCA components of data, all scaled to % unity variance % [s, V
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www.eeworm.com/read/106690/15626668

m acsobiro.m

% acsobiro() - A.C.'s Robust second-order blind identification (SOBI) by joint % diagonalization of the time-delayed covariance matrices. NOTE: % THIS CODE ASSUMES TEMPORALL
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www.eeworm.com/read/101557/15826482

m abcdchk.m

function msg = abcdchck(a,b,c,d) %ABCDCHK Checks dimensional consistency of A,B,C,D matrices. % MSG = ABCDCHK(A,B,C,D) checks the consistency of the dimensions % of A,B,C,D. Returns the empty mat
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html which.html

Newmat09 - is this the library Is this the library for you? next - skip -
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html stl.html

Newmat09 - standard template library Standard template library next - skip -
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html changes.html

Newmat09 - change history Change history next - skip - up -
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html elements.html

Newmat09 - elements Accessing elements next - skip - up -
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html efficien.html

Newmat09 - efficiency Efficiency next - skip - up -
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m createsdplibfile.m

function createsdplibfile(F_struc,K, c, filename) %CREATESDPLIBFILE Internal function to create SDPA data files % Author Johan L鰂berg % $Id: createsdplibfile.m,v 1.2 2004/07/02 08:17:30 johanl
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