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/449504/7503063
m sar.m
function results = sar(y,x,W,info)
% PURPOSE: computes spatial autoregressive model estimates
% y = p*W*y + X*b + e, using sparse matrix algorithms
% -------------------------------------
www.eeworm.com/read/436588/7767146
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
% --------------------------------
www.eeworm.com/read/146126/12668319
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/146126/12668631
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/246458/12723578
m sparsity.m
% This spy plot shows a SPARSE symmetric positive definite matrix derived from
% a portion of the Harwell-Boeing test matrix "west0479", a matrix describing
% connections in a model of a diffrac
www.eeworm.com/read/144399/12797384
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/306698/13739973
c dijkstra.c
/*
*
* Implementation of Dijkstra's method using a Matlab sparse matrix
* as an adjacency matrix. Zero entries represent non-existent edges.
* Uses linear search for simplicity
*
Inputs:
-------
www.eeworm.com/read/492294/6420657
m gensdpafile.m
function gensdpafile(filename,mDIM,nBLOCK,bLOCKsTRUCT,c,F)
%
% Generate SDP data file with SDPA Sparse format
%
% gensdpafile(filename,mDIM,nBLOCK,bLOCKsTRUCT,c,F)
%
%
% - filename
www.eeworm.com/read/491106/6440869
m gensdpafile.m
function gensdpafile(filename,mDIM,nBLOCK,bLOCKsTRUCT,c,F)
%
% Generate SDP data file with SDPA Sparse format
%
% gensdpafile(filename,mDIM,nBLOCK,bLOCKsTRUCT,c,F)
%
%
% - filename
www.eeworm.com/read/487897/6501698
cpp bundle_common.cpp
/*
Copyright (c) 2008 University of North Carolina at Chapel Hill
This file is part of SSBA (Simple Sparse Bundle Adjustment).
SSBA is free software: you can redistribute it and/or modify it under t