代码搜索:Definite

找到约 349 项符合「Definite」的源代码

代码结果 349
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m alg066.m

% CHOLESKI'S ALGORITHM 6.6 % % To factor the positive definite n by n matrix A into LL**T, % where L is lower triangular. % % INPUT: the dimension n; entries A(I,J), 1
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m randpds.m

function [C]=randpds(dim,diagm) % [C]=randpds(dim,diagm) % % RANDPDS generates random positive definite symetric matrix of % given dimension. % % Input: % dim [1x1] given dimension of desired matri
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m logdet.m

function y = logdet(A) % log(det(A)) where A is positive-definite. % This is faster and more stable than using log(det(A)). % From Tom Minka's lightspeed toolbox U = chol(A); y = 2*sum(log(d
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m randpds.m

function [C]=randpds(dim,diagm) % [C]=randpds(dim,diagm) % % RANDPDS generates random positive definite symetric matrix of % given dimension. % % Input: % dim [1x1] given dimension of desired matri
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m randpds.m

function [C]=randpds(dim,diagm) % [C]=randpds(dim,diagm) % % RANDPDS generates random positive definite symetric matrix of % given dimension. % % Input: % dim [1x1] given dimension of desired matri
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m randpds.m

function [C]=randpds(dim,diagm) % [C]=randpds(dim,diagm) % % RANDPDS generates random positive definite symetric matrix of % given dimension. % % Input: % dim [1x1] given dimension of desired matri
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m tridiag_ldlt.m

function [d, e, iflag] = tridiag_ldlt( d, e); % % TRIDIAG_LDLT computes the LDL^T-decomposition of a % symmetric positive definite tridiagonal matrix. % % Usage % [c, d, e, iflag] = tridiag_
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m inv_posdef.m

function Pinv = inv_posdef(P) %function Pinv = inv_posdef(P) % % Invert a positive definite matrix P. More numerically stable than Pinv = inv(P) % and result is guaranteed to remain symmetric. %
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html 16.doc.html

The Java Language Specification Definite Assignment Cont
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m mchol.m

% % [L,D,E,pneg]=mchol(G) % % Given a symmetric matrix G, find a matrix E of "small" norm and % L, and D such that G+E is Positive Definite, and % % G+E = L*D*L' % % Also, calculate a dire