代码搜索:fprintf
找到约 10,000 项符合「fprintf」的源代码
代码结果 10,000
www.eeworm.com/read/161171/10440960
m twologons.m
% create a movie (or play it) showing the interferences
% between two logons
% F. Auger, oct 1999
% Copyright (c) CNRS - France 1999.
%
% ------------------- CONFIDENTIAL PROGRAM ------------
www.eeworm.com/read/161171/10441165
m moon.m
% create a movie (or play it) showing the interferences
% between a sinusoid, a logon and a rotating logon
% F. Auger, oct 1999
% Copyright (c) CNRS - France 1999.
%
% ------------------- CON
www.eeworm.com/read/161171/10441198
m pwvmovie.m
% create a movie (or play it) showing the trade-off
% for the pweudo Wigner-Ville Distribution
% F. Auger, oct 1999
% Copyright (c) CNRS - France 1999.
%
% ------------------- CONFIDENTIAL PR
www.eeworm.com/read/161095/10452169
m try2.m
function info = try2(A,pin);
% TRY2 : test SUPERLU with 2 outputs
%
% info = try2(A,pin);
% normally info is the residual norm;
% but info is at least 10^6 if U is not triangular
% or if the factors
www.eeworm.com/read/161095/10452178
m trysuperlu.m
function failed = trysuperlu(A);
% TRYSUPERLU : Test the Matlab interface to superlu.
%
% failed = trysuperlu;
% This runs several tests on superlu, using a matrix with the
% struc
www.eeworm.com/read/353358/10453033
m patch2stl.m
function patch2stl(filename,p,mode)
%PATCH2STL Write STL file from patch (vertices/faces) data.
% PATCH2STL('filename',p) writes a stereolithography (STL) file
% for a patch mesh defined by P
www.eeworm.com/read/353334/10453960
m hdda_find_seuil.m
function prms = hdda_find_seuil(Xl,varargin);
% High Dimensionality Discriminant Analysis - This function allows to learn
% the dimensionality parameter from the learning dataset.
%
% Usage: s = hdda
www.eeworm.com/read/424383/10455997
c p10.4.c
#include
#include
int main ()
{
FILE* fs = popen ("sort", "w");
if(fs==NULL){
perror("call popen function fail");
return 1;
}
fprintf (fs, "This is a
www.eeworm.com/read/279184/10456836
c util.c
/****************************************************/
/* File: util.c */
/* Utility function implementation */
/* for the TINY compiler
www.eeworm.com/read/424368/10457051
m main.m
%-------------------------------------------------
%c-均值算法,对IRIS数据分类
%-------------------------------------------------
[iris,irisc] = loadiris(); %导入IRIS数据
%iris即为待分类样本数据矩阵,共150组,每组4个特征
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