代码搜索:Matrix

找到约 10,000 项符合「Matrix」的源代码

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m rotmr2qr.m

function qr=rotmr2qr(mr) %ROTMR2QR converts a matrix of real quaternion matrices to quaternion vectors % Inputs: % % MR(4m,4n) mxn matrix of real quaternion matrices (each 4x4) % % Output
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m rotmc2qc.m

function qc=rotmc2qc(mc) %ROTMC2QC converts a matrix of complex quaternion matrices to a matrix of complex quaternion vectors % Inputs: % % MC(2m,2n) mxn matrix of real quaternion matrices
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m rotqr2mr.m

function mr=rotqr2mr(qr) %ROTQR2MR converts a matrix of real quaternion vectors to quaternion matrices % Inputs: % % QR(4m,n) mxn matrix of real quaternion vectors (each 4x1) % % Outputs:
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m lu_gauss.m

function A=lu_gauss(A) %LU_GAUSS LU factorization without pivoting. % A = LU(A) stores an upper triangular matrix in the upper % triangular part of A and a lower triangular matrix in the % s
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m lin_sep.m

function [ys,W,Q]=Lin_Sep(x,Fs); % The main program of maximum SNR algorithm % Usage: [ys,W,Q]=Lin_Sep(x,Fs); % This m file is just used in the early stage of the test, however, it is % no long
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inl linearequation.inl

//LinearEquation.inl 线性方程(组)求解函数(方法)定义 // Ver 1.0.0.0 // 版权所有(C) 何渝, 2002 // 最后修改: 2002.5.31 #ifndef _LINEAREQUATION_INL #define _LINEAREQUATION_INL //全选主元高斯消去法 template int L
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txt basic ica code in matlab (as used in bell and sejnowski 1996) .txt

*********************************************************** *********************************************************** ********* BASIC SOURCE SEPARATION CODE, 23 Jan 1996 ******* ********* Tony Be
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out allpairs.out

Enter number of edges of 5 vertex weighted digraph enter edge 1 enter edge 2 enter edge 3 enter edge 4 enter edge 5 enter edge 6 enter edge 7 The weighted digraph is 0 4 2 0 8 0 0 0 4 5 0
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cpp smatrix.cpp

// test formula based sparse matrix class #include #include "smatrix.h" void main(void) { SparseMatrix A(20), B(20), C(20); cin >> A; cout
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m nlgen.m

function y = nlgen (x, h, q) %NLGEN generates the output of a second order Volterra system % y = nlgen (x, h, q) % y(n) = sum_{k} h(k) x(n-k) + sum_{k} sum_{l} q(k,l) x(n-k)x(n-l) % the