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找到约 10,000 项符合「LED Matrix」的源代码

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www.eeworm.com/read/373249/9467888

m matrix_t_pdf.m

function p = matrix_T_pdf(A, M, V, K, n) % MATRIX_T_PDF Evaluate the density of a matrix under a Matrix-T distribution % p = matrix_T_pdf(A, M, V, K, n) % See "Bayesian Linear Regression", T. Min
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m my_matrix2.m

function k=my_matrix2(n) k=zeros(n,n); for i=2:n-2 k(i,i)=1; k(i,i+1)=-2; k(i,i+2)=1; end k(1,1)=1; k(1,2)=-2; k(1,3)=1; k(n-1,1)=1; k(n-1,n-1)=1; k(n-1,n)=-2; k(n,n)=1; k(n,
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c distance_matrix_mex.c

#include "mex.h" #include #include void Calc(int d, int n, double *X, double *DST) { int i,j,k; double tmp,t2; for (j=0; j
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h matrix_forward_iterator.h

/* * Scythe Statistical Library Copyright (C) 2000-2002 Andrew D. Martin * and Kevin M. Quinn; 2002-present Andrew D. Martin, Kevin M. Quinn, * and Daniel Pemstein. All Rights Reserved. * * Thi
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h matrix_bidirectional_iterator.h

/* * Scythe Statistical Library Copyright (C) 2000-2002 Andrew D. Martin * and Kevin M. Quinn; 2002-present Andrew D. Martin, Kevin M. Quinn, * and Daniel Pemstein. All Rights Reserved. * * Thi
www.eeworm.com/read/360732/10080649

m compute_distance_matrix.m

function D = compute_distance_matrix(X) % compute_distance_matrix - compute pairwise distance matrix. % % D = compute_distance_matrix(X); % % We have D(i,j)=|X(:,i)-X(:,j)|^2. % % Copyr
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m matrix_t_pdf.m

function p = matrix_T_pdf(A, M, V, K, n) % MATRIX_T_PDF Evaluate the density of a matrix under a Matrix-T distribution % p = matrix_T_pdf(A, M, V, K, n) % See "Bayesian Linear Regression", T. Minka,