代码搜索：sparse
找到约 3,324 项符合「sparse」的源代码
代码结果 3,324
www.eeworm.com/read/361001/10069745
m writesdpa.m
% This function takes a problem in SeDuMi MATLAB format and writes it out
% in SDPA sparse format.
%
% Usage:
%
% ret=writesdpa(fname,A,b,c,K,pars)
%
% fname Name of SDPpack file
www.eeworm.com/read/424987/10388649
m operator_example.m
% Matlab script for solving the sparse signal recovery problem
% using the object-oriented programming feature of Matlab.
% The three m files in ./@partialDCT/ implement the partial DCT class
% wit
www.eeworm.com/read/161094/10454115
readme
SuperLU_DIST (version 1.0)
==========================
SuperLU_DIST contains a set of subroutines to solve a sparse linear system
A*X=B. It uses Gaussian elimination with static pivoting (GESP).
www.eeworm.com/read/272848/10940520
h linkedmatrix.h
// linked representation of a sparse matrix
#ifndef linkedMatrix_
#define linkedMatrix_
#include
#include "extendedChain.h"
#include "matrixElements.h"
using namespace std;
t
www.eeworm.com/read/272848/10940903
cpp sparsematrix.cpp
// test array based sparse matrix class
#include
#include "sparseMatrix.h"
int main(void)
{
sparseMatrix a, b, c;
// test input and output
cin >> a;
cout
www.eeworm.com/read/417705/10979822
m fullpathcov.m
function [vars,rhobreaks,res]=FullPathCov(S)
% Given covariance matrix, compute full sparse PCA path
% Input:
% S: covariance matrix with decreasing diagonal
% Output:
% vars: vector of variance
www.eeworm.com/read/458493/7295689
m tridiags.m
function A = tridiags(n,a,b,c)
% tridiags Create sparse tridiagonal matrix from two or three scalars or vectors
%
% Synopsis: A = tridiags(n,a,b)
% A = tridiags(n,a,b,c)
%
% Input:
www.eeworm.com/read/458488/7296104
m tridiags.m
function A = tridiags(n,a,b,c)
% tridiags Create sparse tridiagonal matrix from two or three scalars or vectors
%
% Synopsis: A = tridiags(n,a,b)
% A = tridiags(n,a,b,c)
%
% Input:
www.eeworm.com/read/449504/7502805
m sem.m
function results = sem(y,x,W,info)
% PURPOSE: computes spatial error model estimates
% y = XB + u, u = p*W*u + e, using sparse algorithms
% ----------------------------------------------
www.eeworm.com/read/449504/7502823
m f_sempanel.m
function lik = f_sempanel(rho,eD,W,detval,T)
% PURPOSE: evaluates concentrated log-likelihood for the
% spatial panel error model using sparse matrix algorithms
% --------------------------------