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/216389/15015601
txt 10-16.txt
%例10-16 break语句的使用。
%该程序用于求解经典的鸡兔同笼问题。
%鸡兔同笼，头36，脚100。
%求鸡兔各几只。
i=1;
while i>0
if rem(100-i*2,4)==0&(i+(100-i*2)/4)==36
break;
end
i=i+1;
n1=i;
n2=(100-2*i)/4
www.eeworm.com/read/114456/15052851
m demoperf.m
% Demonstrates the much higher performance
% of EARPYW.M compared to AR.M
% Both algoriths implemented the Yule-Walker approach
% for estimating the Autoregressive Parameters
% Version 2.43
%
www.eeworm.com/read/213912/15122466
m break_continue.m
for ii=1:9
if ii==3
continue
end
fprintf('ii=%d\n',ii);
if ii==5
break
end
end
disp('The end of loop')
www.eeworm.com/read/213912/15122476
m error_message.m
% Script file error_message.m
%
% Purpose:
% To calculate mean and the standard deviation of
% an input data set containing and arbitrary number
% of input values.
%
% Define variables:
%
www.eeworm.com/read/213912/15122478
m stats2.m
% Script file stats2.m
%
% Purpose:
% To calculate mean and the standard deviation of
% an input data set containing and arbitrary number
% of input values.
%
% Define variables:
% n
www.eeworm.com/read/213424/15135078
m bookdemo.m
% PURPOSE : We address here a nonlinear non-Gaussian problem using
% the standard particle filtering algorithm.
% For more details refer to the introduction of our book:
% Sequential Monte Carlo in P
www.eeworm.com/read/212307/15160204
m demopt1.m
function demopt1(xinit)
%DEMOPT1 Demonstrate different optimisers on Rosenbrock's function.
%
% Description
% The four general optimisers (quasi-Newton, conjugate gradients,
% scaled conjugate gradien
www.eeworm.com/read/210839/15191709
il show_library.il
;------------ Cut Here and save to file as: show_library.il ---------------
;###########################################################################
;#
www.eeworm.com/read/207800/15261846
c objcmp.c
/*******************************************************/
/* "C" Language Integrated Production System */
/* */
/*
www.eeworm.com/read/167185/5462141
c genburg.c
/*
The generalized Burg technique
Programmed by Daniel L. Wenger
408-425-5790 Santa Cruz, California
See:
"Estimation of Structured Covariance Matrices", J.P.Burg, D.G.Luenberger,
D.L.Wenger; Procee