代码搜索：Matrix
找到约 10,000 项符合「Matrix」的源代码
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www.eeworm.com/read/307760/13715439
m bootrsp.m
function[out]=bootrsp(in,B)
% out=bootrsp(in,B)
%
% Bootstrap resampling procedure.
%
% Inputs:
% in - input data
% B - number of bootstrap resamples (default B=1)
www.eeworm.com/read/307213/13726366
m ants_information.m
function [x,y,d,t,h,iter,alpha,beta,e,m,n,el]=ants_information;
iter=100;%number of cycles.
m=200;%number of ants.
x=[8 0 -1 2 4 6 3 10 2.5 -5 7 9 11 13];
y=[2 4 6 -1 -2 0.5 0 3.7 1.8 1 0 4 3 2];%
www.eeworm.com/read/306698/13739975
c radjacency.c
/*
*
* Returns the Sparse adjacency matrix of neighbours of xi within the ball radius R, such {x_j}, ji, d(xi,xj)
www.eeworm.com/read/306695/13739989
m floydspr.m
%% Floyd algorithm
function [S, P]=FloydSPR(AdjMax)
% *INPUT:*
% AdjMax: Adjacent matrix that represents a weighted, directed graph
%
% *OUTPUT:*
% S: distance to destination node
% P: next ho
www.eeworm.com/read/306478/13744587
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
www.eeworm.com/read/306207/13749290
cpp 单纯型.cpp
#include
#include
#include
float matrix[100][100],x[100]; /* 记录总方程的数组,解的数组 */
int a[100]; /* 记录基础,非基础的解的情况,0:非基础,1:基础 */
int m,n,s,type; /* 方程变量,约束数,求最大最小值的类型,0:最小 1:
www.eeworm.com/read/305816/13760355
cpp distance.cpp
/////////////////////////////////////////////////////////////////////////////////////////////////
//
// Levenshtein Distance
// @author: Gonzales Cenelia
// homepage: www.ai-search.4t.com
//
//
www.eeworm.com/read/305575/13765347
m jgraph_quirks.m
function[]=jgraph_quirks
%JGRAPH_QUIRKS Solutions to some common Matlab graphics quirks.
%
% How do I make tick-marks disappear after a call to CONTOURF or PCOLOR?
% Matlab strangely places th
www.eeworm.com/read/305575/13765380
m indexand.m
function[index]=indexand(varargin)
%INDEXAND Finds the intersection of multiple indices.
%
% INDEX = INDEXAND(INDEX1,INDEX2...), where the INDEX1, INDEX2,... are
% indices into a matrix (such a
www.eeworm.com/read/305575/13765466
m mat2col.m
function[varargout]=mat2col(varargin)
%MAT2COL Compress NAN-padded matrix data into long columns.
%
% C=MAT2COL(M), where the columns of matrix M are data vectors of
% nonuniform length with NANs