代码搜索:Matrix

找到约 10,000 项符合「Matrix」的源代码

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cs class1.cs

using System; namespace Gauss_Jacobi { class Class1 { static void Main(string[] args) { Console.WriteLine("\t\tGAUSSIAN JACOBI METHOD"); Console.WriteLine("\t\t==================
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m mudd.m

% mudd.m % Scope: This MATLAB macro computes the U-D factorization of a real % symmetric, positive (semi)definite matrix by using the % modified Cho
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m mcud.m

% mcud.m % Scope: This MATLAB macro computes the real symmetric matrix % P = U*D*U**(Transpose), when its U-D factors are given, where U % is
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m xmuddu.m

% xmuddu.m % Scope: This MATLAB program executes the decomposition and reconstruction % of a real symmetric positive (semi)definite matrix into and from %
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m xmudm.m

% xmudm.m % Scope: This MATLAB program tests the macros: mudm, mudm1 and mreast . % Implementation of the discrete Kalman filter measurement updating %
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m xqrupa.m

% xqrupa.m % Scope: This MATLAB program tests the updating algorithm [1] for Q-R % factorization of the modified measurement matrix when a new %
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m ss_tbl31.m

Gold sequences for the table of problem 3.1 of Spread Spectrum Chapter Note that the sequences are the columns of the below matrix not the rows, so we have to take the transpose of the following m
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m randvec.m

function x=randvec(n,m,c) %RANDVEC Generate gaussian random vectors X=(N,M,C) % generates a random matrix of size (n,p) where p is the maximum dimension of m or c % Each row of x is independent wi
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m rdct.m

function y=rdct(x,n) %RDCT Discrete cosine transform of real data Y=(X,N) % Data is truncated/padded to length N. % % This routine is equivalent to multiplying by the matrix % % rdct(eye(n
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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