代码搜索：Matrices

找到约 3,616 项符合「Matrices」的源代码

代码结果 3,616
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csh stest.csh

#!/bin/csh set ofile = stest.out # output file if ( -e $ofile ) then rm -f $ofile endif echo "Single-precision testing output" > $ofile set MATRICES = (LAPACK g10) set NVAL = (9 19
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csh ztest.csh

#!/bin/csh set ofile = ztest.out # output file if ( -e $ofile ) then rm -f $ofile endif echo "Double-precision complex testing output" > $ofile set MATRICES = (LAPACK) set NVAL = (
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csh ctest.csh

#!/bin/csh set ofile = ctest.out # output file if ( -e $ofile ) then rm -f $ofile endif echo "Single-precision complex testing output" > $ofile set MATRICES = (LAPACK) set NVAL = (
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csh dtest.csh

#!/bin/csh set ofile = dtest.out # output file if ( -e $ofile ) then rm -f $ofile endif echo "Double-precision testing output" > $ofile set MATRICES = (LAPACK g10) set NVAL = (9 19
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m acov.m

function [sigma]=acov(SIGMA,inx) % ACOV returns covariance matrix of given index. % [sigma]=acov(SIGMA,inx) % % This function returns inx-th covarinace matrix. % The matrix SIGMA contains a serie of
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m acov.m

function [sigma]=acov(SIGMA,inx) % ACOV returns covariance matrix of given index. % [sigma]=acov(SIGMA,inx) % % This function returns inx-th covarinace matrix. % The matrix SIGMA contains a serie of
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txt transform.txt

The matrices used to describe model transformations are affine 4x4 matrices which are D3D style, row major with translations in the 4th row. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 The tran
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cpp rmult.cpp

// dynamic programming recursive matrix multiplication chains #include "stdafx.h" #include #include "make2db.h" using namespace std; int r[7] = {0, 10, 5, 1, 10, 2, 10}; int **kay;
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m cov_nd.m

function [cv, r] = cov_nd(X,Y) % cov_nd - computes covariance and corrcoefs for vector pairs in N-D % % FORMAT: [cv, r] = cov_nd(X,Y) % % Input fields: % % X, Y N-D double m
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cpp recursivedpmatrixchain.cpp

// first version of recursive dynamic programming solution for // the matrix multiplication chains problem #include #include "make2dArray.h" using namespace std; // global variab
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