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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m reentry_cond.m

% % Compute condition numbers of transition matrices % for re-entry simulation with no noise. % % Copyright (C) 2005-2006 Simo S鋜kk
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m fex_abcd.m

function fex_abcd % This function computes matrices (A, B, C, D) for linear analysis by % means of numerical differentiation. It has to be run after state % initialization performed by power flow PSA
www.eeworm.com/read/433808/7908142

m repliche.m

function [Gnew, Pnew]=repliche(G, P); %repliche: Bayesian Variable Selection % Search for replicates %*********************************************************************** %INPUTS: % G, matrix
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cpp timematrixmultiply1.cpp

// run time for simple square matrix multiply #include #include #include "make2dArrayNoCatch.h" using namespace std; #pragma optimize("t", on) template void sq
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cpp matrixmultiply1.cpp

// multipy square matrices #include #include "make2dArrayNoCatch.h" using namespace std; template void squareMatrixMultiply(T **a, T **b, T **c, int n) {// Multiply the
www.eeworm.com/read/247181/12675773

m nmats.m

function [A,M] = Nmats(mesh,withbd,scal) % computes the matrices A ("stiffness matrix") and M ("mass matrix") % for continuous piecewise linear vectorial finite elements % % Usage: [A,M] = Nmats(mesh)
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m ppdec.m

function [p0, p1] = ppdec(x, type) % PPDEC Parallelogram Polyphase Decomposition % % [p0, p1] = ppdec(x, type) % % Input: % x: input image % type: one of {1, 2, 3, 4} for selecting sampling
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txt aa_0pg.txt

* You can compile the *.c files directly without create a project. * The h files are in the "hfile_r.zip" file. *->r real *->z complex aa*_add.c : Add two matr
www.eeworm.com/read/317500/13504148

m generator_noise.m

%%% generator noise random vector from variance matrix%%% %% %generator_noise% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %% input: W square matrices and simetric matrices,
www.eeworm.com/read/311447/13630949

m ppdec.m

function [p0, p1] = ppdec(x, type) % PPDEC Parallelogram Polyphase Decomposition平行四边形多相分解 % % [p0, p1] = ppdec(x, type) % % Input: % x: input image % type: one of {1, 2, 3, 4} for selecting