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
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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 [nr