代码搜索：Matrix
找到约 10,000 项符合「Matrix」的源代码
代码结果 10,000
www.eeworm.com/read/157453/11704502
out mns.out
matrix size is
0 0 0 0 0 0 0 1 1 1
0 0 0 0 0 0 1 1 1 1
0 0 0 1 1 1 1 1 1 1
0 1 1 1 1 1 1 1 1 1
0 1 1 1 2 2 2 2 2 2
1 1 1 1 2 2 2 2 2 2
1 1 1 1 2 2 2 2 3 3
1 1 2 2 2 2 2 2 3 3
1 1 2 2
www.eeworm.com/read/346712/11729624
java eigenvaluedecomposition.java
/*
* This software is a cooperative product of The MathWorks and the National
* Institute of Standards and Technology (NIST) which has been released to the
* public domain. Neither The MathWorks no
www.eeworm.com/read/346712/11729639
java ludecomposition.java
/*
* This software is a cooperative product of The MathWorks and the National
* Institute of Standards and Technology (NIST) which has been released to the
* public domain. Neither The MathWorks no
www.eeworm.com/read/346528/11739240
m rdmat.m
% rdmat Random density matrix
% rdmat(n,d) creates an n qudit density matrix where d is the
% dimension of the qudits. If d is omitted then it is taken to be 2.
% If argument n is omitt
www.eeworm.com/read/346528/11739285
m contents.m
% MATLAB routines for quantum mechanics.
%
% General
% contents - List of commands
% ver - Version
% example1 - Example with two-state systems
% example2
www.eeworm.com/read/346528/11739426
m negativity.m
% negativity Negativity for a qudit register.
% negativity(M,list,d) computes the matrix obtained from M
% by partially transposing the qudits given in the list,
% and returns with the s
www.eeworm.com/read/157044/11743292
m laplacian.m
function L = laplacian(A);
% LAPLACIAN : Laplacian matrix of a graph.
%
% L = laplacian(A) returns a matrix whose nonzero structure is that of A+A'
% (including any explicit zeros in A) w
www.eeworm.com/read/157044/11743305
m distances.m
function D = distances(A,xy)
% DISTANCES : Matrix of distances between adjacent mesh points
%
% Input: A is the (sparse) adjacency matrix of a directed or undirected graph.
% xy is the vertex
www.eeworm.com/read/156956/11750266
m makeay.m
function [Ay, by] = makeAy(baseMVA, ng, gencost, pgbas, qgbas, ybas)
% makeAy: Make the A matrix and RHS for the CCV formulation.
%
% [Ay, by] = makeAy(baseMVA, ng, gencost, pgbas, qgbas, ybas) con
www.eeworm.com/read/346387/11751542
m icams.m
function [S,A,ll,Tau]=icaMS(X,Tau,draw)
% icaMS : Dynamic ICA by the Molgedey and Schuster decorrelation algorithm.
%
% function [S,A,ll,Tau]=icaMS(X,[Tau],[draw]) Independent component analy