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/295431/8164154
m q46.m
%《MATLAB及在电子信息课程中的应用》第四章第六节演示程序q46
% 稀疏矩阵函数
% 电子工业出版社出版 陈怀琛 吴大正 高西全合著 2001年10月初版，2003年7月第二版
%
x = [ 0 0 0 0 0 ;...
0 0 0 0.1302
www.eeworm.com/read/194957/8182595
m 例11-8.m
/* fulltosparse.c */
#include
#include "mex.h"
/* 如果读者使用的编译器使用符号NaN表示0，那么在编译此例子
* 代码的时候读者必须使用标志-DNAN_EQUALS_ZERO ，例如：
* mex -DNAN_EQUALS_ZERO findnz.c
*/
#if defined(NAN_EQUALS_
www.eeworm.com/read/294611/8216616
m som_neighbors.m
function Ne = som_neighbors(sM,neigh)
% Ne = som_neighbors(sM,neigh)
%
% sM (struct) map or data struct
% (matrix) data matrix, size n x dim
% [neigh] (string) 'kNN' or 'Nk' (which is va
www.eeworm.com/read/369527/9641670
m grad_ccv.m
function [df, dg] = grad_ccv(x, baseMVA, bus, gen, gencost, branch, Ybus, Yf, Yt, V, ref, pv, pq, mpopt)
%GRAD_CCV Evaluates gradients of objective function & constraints for OPF.
% [df, dg] = gr
www.eeworm.com/read/367875/9724870
m som_neighbors.m
function Ne = som_neighbors(sM,neigh)
% Ne = som_neighbors(sM,neigh)
%
% sM (struct) map or data struct
% (matrix) data matrix, size n x dim
% [neigh] (string) 'kNN' or 'Nk' (which is va
www.eeworm.com/read/171045/9774328
cpp decoder.cpp
#include "float.h"
#include "sparse.h"
#include "decoder.h"
#include "main.h"
/* function: parallel decoder
parameter: *HParity check matrix
*lratio Likelihood ratios f
www.eeworm.com/read/411678/11232889
c spmatvec_transmult.c
/*
* =============================================================
* spmatvec_mult.c Compute a sparse matrix vector multiplication
* using a transposed matrix.
*
* David Gleich
* Stanford
www.eeworm.com/read/411678/11232901
c spmatvec_mult.c
/*
* ==============================================================
* spmatvec_mult.c Compute a sparse matrix vector multiplication
*
* David Gleich
* 14 February 2006
* =================
www.eeworm.com/read/265706/11256167
m t_jacobian.m
function t_jacobian(quiet)
%T_JACOBIAN Numerical tests of partial derivative code.
% MATPOWER
% $Id: t_jacobian.m,v 1.2 2004/08/23 20:59:46 ray Exp $
% by Ray Zimmerman, PSERC Cornell
% Copy
www.eeworm.com/read/265706/11256220
m grad_ccv.m
function [df, dg] = grad_ccv(x, baseMVA, bus, gen, gencost, branch, Ybus, Yf, Yt, V, ref, pv, pq, mpopt)
%GRAD_CCV Evaluates gradients of objective function & constraints for OPF.
% [df, dg] = grad