代码搜索：fprintf

找到约 10,000 项符合「fprintf」的源代码

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www.eeworm.com/read/362099/10019290

m wnetver.m

fprintf('\n Wavelet Network, Version 2.1, May 1994.\n\n');
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www.eeworm.com/read/362013/10023691

m lds.m

function [Yu, err] = lds(Xl,Xu,Yl,rho,opt) % Yu = LDS(Xl,Xu,Yl,rho,opt) % Run the Low Density Separation algorithm as described in % "Semi-supervised classification by Low Density Separation" by %
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www.eeworm.com/read/166096/10036180

c spp_defrag.c

/* ** Copyright (C) 1998,1999,2000,2001 Martin Roesch ** Copyright (C) 2000,2001 Dragos Ruiu ** ** This program is free software; you can redistrib
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www.eeworm.com/read/165556/10057570

c jcc.c

char *jcc_rcs = "$Id: jcc.c,v 3.42 1998/10/29 03:11:21 ACJC Exp $"; /* Written and copyright 1997 Anonymous Coders and Junkbusters Corporation. * Distributed under the GNU General Public License; see
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www.eeworm.com/read/165556/10057613

c parsers.c

char *parsers_rcs = "$Id: parsers.c,v 1.26 1998/10/23 01:54:12 ACJC Exp $"; /* Written and copyright 1997 Anonymous Coders and Junkbusters Corporation. * Distributed under the GNU General Public Lice
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www.eeworm.com/read/361001/10069736

m csdp.m

% % [x,y,z,info]=csdp(At,b,c,K,pars) % % Uses CSDP to solve a problem in SeDuMi format. % % Input: % At, b, c, K SDP problem in SeDuMi format. % pars CSDP parameters (op
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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
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www.eeworm.com/read/165197/10072573

m rls.m

function rls(A,b,Sigma) %RLS Recursive Least Squares % A is the coefficient matrix, b the observations and % Sigma a vector containing the diagonal entries of % the c
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www.eeworm.com/read/360770/10078826

m e232.m

%----------------------------------------------------------------------- % Example 2.3.2: Matrix Determinant %----------------------------------------------------------------------- clc
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www.eeworm.com/read/360770/10078834

m e225.m

%----------------------------------------------------------------------- % Example 2.2.5: Matrix Inverse %----------------------------------------------------------------------- clc
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