代码搜索:Matrix

找到约 10,000 项符合「Matrix」的源代码

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m createdistmat.m

function distMat = createDistMat (proj, metric) % % PROTOTYPE % function distMat = createDistMat (proj, metric) % % USAGE EXAMPLE(S) % pcaDistMatCos = createDistMat(pcaProj, 'COS'); % % GENER
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m spdiags.m

function [res1,res2] = spdiags(arg1,arg2,arg3,arg4) %SPDIAGS Sparse matrix formed from diagonals. % SPDIAGS, which generalizes the function "diag", deals with three % matrices, in various combi
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c stviterbi.c

/* MATLAB's C-MEX space-time trellis decoder for QPSK * * Copyright Bagawan S. Nugroho, 2006 *********************************************/ #include "mex.h" #include "matrix.h" #include
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m l2_distance.m

function d = L2_distance(a,b,df) % L2_DISTANCE - computes Euclidean distance matrix % % E = L2_distance(A,B) % % A - (DxM) matrix % B - (DxN) matrix % df = 1, force diagonals to be ze
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m gaussseidel.m

function x=GaussSeidel(A,b,es) %A=coefficient matrix %b=right hand side vector %es=stop critartion %maxit=max iterations %output: %x=solution vector maxit=100; lambda=0.5; %underrelaxation p
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m gaussseidel.m

function x=GaussSeidel(A,b,es) %A=coefficient matrix %b=right hand side vector %es=stop critartion %maxit=max iterations %output: %x=solution vector maxit=100; lambda=0.5; %underrelaxation p
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m anal2.m

function [E,Nc,mC,T] = anal2(M,D,st,s); % % Ph.D. Thesis % Copyright by Leandro Nunes de Castro % March, 2000 % Immune Network (iNet) - Description in iNet.doc % Function determines the Minima
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m errorpattern.m

function out=errorpattern(syndrome) %function to get the error pattern given the syndrome..A matrix with three %columns and any number of rows %Works only for parity check matrix %H=[eye(3),transp
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m ivech.m

function transformeddata=ivech(data) % PURPOSE: % Transform a vector in to a lower triangular matrix for use by MVGARCH, complements vech % % USAGE: % transformeddata=ivech(data) % %
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m diagsum.m

function out=diagsum(X) %DIAGSUM Sum of diagonals of a matrix. % DIAGSUM(A) is a row vector containing the sums of the diagonals % of the matrix A, from lower left to upper right. % From makra@a