代码搜索：sparse

找到约 3,324 项符合「sparse」的源代码

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www.eeworm.com/read/160391/5571736

m multiply_by_pot.m

function Tbig = multiply_by_pot(Tbig, Tsmall) % MULTIPLY_BY_POT Tbig *= Tsmall % Tbig = multiply_by_pot(Tbig, Tsmall) % % Tsmall's domain must be a subset of Tbig's domain. %process sparse dpot
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www.eeworm.com/read/160391/5571751

m divide_by_pot.m

function Tbig = divide_by_pot(Tbig, Tsmall) % DIVIDE_BY_POT Tbig /= Tsmall % Tbig = divide_by_pot(Tbig, Tsmall) % % Tsmall's domain must be a subset of Tbig's domain. %process sparse dpot, we d
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www.eeworm.com/read/432910/8564913

c vhd-util-create.c

/* Copyright (c) 2008, XenSource Inc. * All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following co
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www.eeworm.com/read/430725/8730579

m adjcentmatrix - 复制 - 复制.m

clear; p=0.5; %the probability of the bonds N=50; %the number of nodes is N^2 %%%%%%%%%%%%%create the adjacency matrix of a percolation network B=zeros(N^2); for i=1:2:(2*N-1) f
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www.eeworm.com/read/430725/8730581

m adjcentmatrix - 复制.m

clear; p=0.5; %the probability of the bonds N=50; %the number of nodes is N^2 %%%%%%%%%%%%%create the adjacency matrix of a percolation network B=zeros(N^2); for i=1:2:(2*N-1) f
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www.eeworm.com/read/430725/8730585

m adjcentmatrix.m

clear; p=0.5; %the probability of the bonds N=50; %the number of nodes is N^2 %%%%%%%%%%%%%create the adjacency matrix of a percolation network B=zeros(N^2); for i=1:2:(2*N-1) f
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www.eeworm.com/read/184067/9123754

m preaug.m

% $Revision: 1.2 $ function[L,U,P,pcol] = preaug(H,pcf,A); %PREAUG example preconditioner of augmented matrix % % [L,U,P,pcol] = PREAUG(H,pcf,A) computes a sparse % factorization of the LU-facto
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www.eeworm.com/read/178529/9393799

m gst.m

function [X] = gst(N, p, I) %%MATLAB code to calculate the reorthogonalized sine tapers %%input: N = the length of the time series data to be tapered %% p = the number of tapers requested %
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www.eeworm.com/read/177211/9465074

m ldpc_decode.m

function [x_hat, success, k] = ldpc_decode(f,H,qq) % decoding of LDPC over GFqq, qq = 2,4,8,16,32,64,128 and 256 % as in Comm. Letters by Davey&MacKay June 1998 with e few modifications. % For nota
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www.eeworm.com/read/371082/9569148

m ldpc_decode.m

function [x_hat, success, k] = ldpc_decode(f,H,qq) % decoding of LDPC over GFqq, qq = 2,4,8,16,32,64,128 and 256 % as in Comm. Letters by Davey&MacKay June 1998 with e few modifications. % For nota
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