代码搜索：gnuplot
找到约 682 项符合「gnuplot」的源代码
代码结果 682
www.eeworm.com/read/344139/11907616
c plot.c
/* plot.c - example of unix pipe. Calls gnuplot graph drawing package to draw
graphs from within a C program. Info is piped to gnuplot */
/* Creates 2 pipes one will draw graphs of y=0.5 and y = ran
www.eeworm.com/read/344139/11907720
txt pipes.html.txt
Interprocess?Communication?(IPC)和管道Pipes?
在UNIX的内核环境中，要解决的一个首要问题是：如何控制和处理不同进程之间的通信和数据交换。
本章中我们将通过研究一个简单的实例，看看在同一台机器的UNIX环境下多个进程是如何运行和被我们控制的
（使用fork()方法）。?
能够实现进程间通信的方法有：
·?Pipes?
...
www.eeworm.com/read/150758/12266446
readme
Two things are provided in this directory: an automatic model selection
tool and a python binding for libsvm.
Part I: Model Selection Tools
Introduction
===============
grid.py is a model selecti
www.eeworm.com/read/124760/14545376
html tutorial.html
Mathematic : Tutorial for the language C.
Mathc : This group work on numerical computati
www.eeworm.com/read/123453/14630157
inc functions.inc
function check_for_errors {
if grep 'WARNING:|ERROR:|PANIC:' "$@" >/dev/null
then
echo "$0 failed" 1>&2
echo "See bench_sms*.log for info" 1>&2
exit 1
fi
}
function plot_co
www.eeworm.com/read/123453/14630692
inc functions.inc
function check_for_errors {
if grep 'WARNING:|ERROR:|PANIC:' "$@" >/dev/null
then
echo "$0 failed" 1>&2
echo "See bench_sms*.log for info" 1>&2
exit 1
fi
}
function plot_co
www.eeworm.com/read/160868/5565123
readme
Model Selection Tools
Introduction
============
grid.py is a model selection tool for C-SVM classification using RBF
(radial basis function) kernel. It uses cross validation (CV) technique
to estima
www.eeworm.com/read/471340/6890177
readme
This directory includes some useful codes:
1. subset selection tools.
2. parameter selection tools.
3. LIBSVM format checking tools
Part I: Subset selection tools
Introduction
============
Trainin
www.eeworm.com/read/295408/8166578
readme
This directory includes some useful codes:
1. subset selection tools.
2. parameter selection tools.
3. LIBSVM format checking tools
Part I: Subset selection tools
Introduction
============
Trainin