代码搜索:Matrix

找到约 10,000 项符合「Matrix」的源代码

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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
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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;
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c gjkdemo.c

#include #include #include #include #include /* Demo program for the Oxford University Computing Laboratory implementation of Gilbert, Johnson an
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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'} %
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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
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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
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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
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c bitmat.c

/*---------------------------------------------------------------------- File : bitmat.c Contents: bit matrix management Author : Christian Borgelt History : 2002.06.09 file created
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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,