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/394381/8227732
m findp.m
function P = findp(A);
%FINDP Nonsingular basis permutation matrix.
% P = FINDP(A) locates a permutation matrix such that
% the leading square matrix is nonsingular.If A has
% more column
www.eeworm.com/read/193048/8255807
m ex1_17.m
% ex1_17
% 判别矩阵是否相等
a=[1 2 3;2 4 8;3 8 15];
b=[1 2 3;4 2 8;3 8 15];
if any(any(a~=b)),
flag='matrix is not the same',
else flag='matrix is the same',
end;
www.eeworm.com/read/192895/8267483
c gjkdemo.c
#include
#include
#include
#include
#include
/* Demo program for the Oxford University Computing Laboratory
implementation of Gilbert, Johnson an
www.eeworm.com/read/393518/8280773
m disteusq.m
function d=disteusq(x,y,mode,w)
%DISTEUSQ calculate euclidean, squared euclidean or mahanalobis distance D=(X,Y,MODE,W)
%
% Inputs: X,Y Vector sets to be compared. Each row contains a data
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m rotqr2eu.m
function e=rotqr2eu(m,q)
%ROTQR2EQ converts a real unit quaternion into the corresponding euler angles
% Inputs:
%
% M(1,3) a string of 3 characters from the set {'x','y','z'}
%
www.eeworm.com/read/393518/8280913
m ldatrace.m
function [a,f,B,W]=ldatrace(b,w,n,c)
%LDATRACE Calculates an LDA transform to maximize trace discriminant [a,f,B,W]=(b,w,n,c)
% If a feature vector X can come from one of several class and W and B a
www.eeworm.com/read/192735/8289531
m svm_multi_init.m
function [H,A,c] = svm_multi_init(targets,K)
% Initialization of the parameters for the optimisation
% problem of multiclass support vector machines.
%
% USAGE: [H,A,c] = svm_multi_init(targets
www.eeworm.com/read/293183/8310610
m mds.m
% MDS Non-linear mapping by multi-dimensional scaling (Sammon)
%
% [W,E] = MDS (D,k,Q,INIT,INSPECT)
%
% Calculates a non-linear mapping W of a distance matrix D to k dimensions.
% A stress measure
www.eeworm.com/read/292936/8322123
c bitmat.c
/*----------------------------------------------------------------------
File : bitmat.c
Contents: bit matrix management
Author : Christian Borgelt
History : 2002.06.09 file created
www.eeworm.com/read/392443/8342027
m davis.m
function [Zp,Sp] = davis(data,x0,model,a,b,c,A)
% [Zp,Sp] = davis(data,x0,model,a,b,c)
%
% Punctual Kriging: Davis' method
%
% ref: Davis, J.C. (1986) Statistics and Data Analysis in Geology,