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/446634/7574460
c iirinput.c
#include
#include
void main()
{
int i;
double f[256];
FILE *fp;
if((fp=fopen("iirin.inc","wt"))==NULL)
{
printf("can't open file! \n");
return;
}
fprintf(fp,"INPUT":
www.eeworm.com/read/446553/7576889
m mex_lf_c.m
function mexfuncname=mex_lf_c(pathname,filename,Yred)
%Creates C_code from Maple equation file, filename, that compiles
%as a MEX-function. mexfilename is the name of the C_code file.
%The inputs
www.eeworm.com/read/446168/7584466
m complete.m
x=0.01:0.01:2;
default=input('Press 1 if u want default ecg signal else press 2:\n');
if(default==1)
li=30/72;
a_pwav=0.25;
d_pwav=0.09;
t_pwav=0.16;
www.eeworm.com/read/446113/7585473
c sga.c
#include
#include
#include
#include
// Code by .御米.
// DarkThorn@163.com
// http://blog.donews.com/6lines
#define MAXPOP 200
#define M
www.eeworm.com/read/446005/7586911
m wilson.m
%用Wilson方法计算结构动力反应(无阻尼)
clear;
m=[61.7 0;
0 29.9];
k=[34016 -20092;
-20092 20092];
xita=1.4; %确定系数xita的值
n=length(m);
tt=3;
pbc=zeros(n-1,1);
p(:,1)=[pbc;115.2]; %初
www.eeworm.com/read/446003/7586913
m newmark2.m
clear;
%用Newmark方法计算结构动力反应(无阻尼)
m=[61.7 0;
0 29.9];
k=[34016 -20092;
-20092 20092];
beta=1/6; %定义系数beta
n=length(m);
tt=3; %总时间
pbc=zeros(n-1,1);
p(:,1)=[pbc;
www.eeworm.com/read/445950/7587517
c ferror.c
#include
#include
void main (int argc, char *argv[])
{
FILE *fp;
char line[256];
if (fp = fopen(argv[1], "r"))
{
while (fgets(line, sizeof(lin
www.eeworm.com/read/445950/7587774
c no_redir.c
#include
#include
void main (void)
{
union REGS inregs, outregs;
// check the stdin handle first
inregs.x.ax = 0x4400;
inregs.x.bx = 0; // stdin
www.eeworm.com/read/445835/7589488
c week3.c
/* Program Name: week3.c */
/* Program to keep track of names and phone numbers. */
/* Information is written to a disk file specified */
/* with a command-line para
www.eeworm.com/read/445613/7592599
m pcamat.m
function [E, D] = pcamat(vectors, firstEig, lastEig, s_interactive, ...
s_verbose);
%PCAMAT - Calculates the pca for data
%
% [E, D] = pcamat(vectors, firstEig, lastEig, ...
% int