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 sor.m

function x = sor(A,x,b,omega) % % Produce an updated solution x to Ax = b successive over-relaxation % A must be Hermitian positive definite % % function x = sor(A,x,b) % % A = input matrix %
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www.eeworm.com/read/140698/13066609

c alg066.c

/* * 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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www.eeworm.com/read/157044/11743395

m gsnd.m

function p = gsnd(S,minsep,ntries); % GSND : Geometric spectral nested dissection ordering. % % p = gsnd(S,minsep,ntries). Nested dissection ordering of S. % For a symmetric positive definite matrix
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www.eeworm.com/read/157044/11743432

m gridt.m

function [A,xy] = gridt(k) % GRIDT : Generate triangular mesh. % % [A,xy] = GRIDT(k) returns a k*(k+1)/2-square symmetric positive % definite matrix A with the structure of an equilateral triangular
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www.eeworm.com/read/457216/1599681

m montecarlo.m

function prob = montecarlo(A,b,Sigma,notrials); % estimates probability than random vector x in R2 % with mean zero and covariance Sigma satisfies Ax
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www.eeworm.com/read/438698/1823502

m cgsolve.m

% cgsolve.m % % Solve a symmetric positive definite system Ax = b via conjugate gradients. % % Usage: [x, res, iter] = cgsolve(A, b, tol, maxiter, verbose) % % A - Either an NxN matrix, or a function
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www.eeworm.com/read/373026/2767618

m montecarlo.m

function prob = montecarlo(A,b,Sigma,notrials); % estimates probability than random vector x in R2 % with mean zero and covariance Sigma satisfies Ax
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www.eeworm.com/read/203062/15366699

cpp cg.cpp

#include "cg.h" #include // conjugate gradient method // matrix A must be symmetric and positive definite Conjugate_Gradient::Conjugate_Gradient(Domain* dom, Operators* op) : Inverter
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www.eeworm.com/read/469123/6977823

c solve_chol.c

/* solve_chol - solve a linear system A*X = B using the cholesky factorization of A (where A is square, symmetric and positive definite. Copyright (c) 2004 Carl Edward Rasmussen. 2004-10-19. */
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www.eeworm.com/read/328976/12991357

m regularize.m

% REGULARIZE - Regularizes a matrix so that it is positive definite. % % % % function s = regularize(s) if (isempty(s)) return; end thresh = sqrt(eps); span = 1e5; [V, D] = eig(full(s))
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