代码搜索:NETWORKS
找到约 10,000 项符合「NETWORKS」的源代码
代码结果 10,000
www.eeworm.com/read/103743/15724424
c win32.c
/*
* OpenVPN -- An application to securely tunnel IP networks
* over a single UDP port, with support for SSL/TLS-based
* session authentication and key exchange,
*
www.eeworm.com/read/103743/15724445
h reliable.h
/*
* OpenVPN -- An application to securely tunnel IP networks
* over a single UDP port, with support for SSL/TLS-based
* session authentication and key exchange,
*
www.eeworm.com/read/103743/15724454
c session_id.c
/*
* OpenVPN -- An application to securely tunnel IP networks
* over a single UDP port, with support for SSL/TLS-based
* session authentication and key exchange,
*
www.eeworm.com/read/103743/15724461
h win32.h
/*
* OpenVPN -- An application to securely tunnel IP networks
* over a single UDP port, with support for SSL/TLS-based
* session authentication and key exchange,
*
www.eeworm.com/read/103743/15724489
c fdmisc.c
/*
* OpenVPN -- An application to securely tunnel IP networks
* over a single UDP port, with support for SSL/TLS-based
* session authentication and key exchange,
*
www.eeworm.com/read/103743/15724495
h integer.h
/*
* OpenVPN -- An application to securely tunnel IP networks
* over a single UDP port, with support for SSL/TLS-based
* session authentication and key exchange,
*
www.eeworm.com/read/103743/15724498
in config-win32.h.in
/*
* OpenVPN -- An application to securely tunnel IP networks
* over a single UDP port, with support for SSL/TLS-based
* session authentication and key exchange,
*
www.eeworm.com/read/290419/8484068
c tun.c
/*
* OpenVPN -- An application to securely tunnel IP networks
* over a single TCP/UDP port, with support for SSL/TLS-based
* session authentication and key exchange,
*
www.eeworm.com/read/290419/8484072
h tun.h
/*
* OpenVPN -- An application to securely tunnel IP networks
* over a single TCP/UDP port, with support for SSL/TLS-based
* session authentication and key exchange,
*
www.eeworm.com/read/287267/8699032
m mregwav1.m
% Example of multiscale approximation using
% Regularization Networks
%
% Learning parameters "lambda" have to be tuned
% for instance by means of a cross-validation.
% Wavelet frame are used f