代码搜索：Algorithm

找到约 10,000 项符合「Algorithm」的源代码

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hpp yes_no_type.hpp

// Boost string_algo library yes_no_type.hpp header file ---------------------------// // Copyright Pavol Droba 2002-2003. Use, modification and // distribution is subject to the Boost Softwar
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v2 jamfile.v2

# Boost.Range library # # Copyright Thorsten Ottosen 2003-2004. Use, modification and # distribution is subject to the Boost Software License, Version # 1.0. (See accompanying file LICENSE_1_0.
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www.eeworm.com/read/160303/5573961

wi-log

whackwest --name ipsec-oppo-west --delete --rsa --pfs --host 127.95.7.1 --ikeport 8500 --nexthop 127.95.7.254 --updown silly --to --updown sally --host %opportunistic --ikeport 8500 --encrypt --rekeym
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www.eeworm.com/read/160303/5573992

wi-log

whackwest --name ipsec-oppo-me --delete --rsa --pfs --host 127.95.7.1 --ikeport 8500 --nexthop 127.95.7.254 --updown silly --to --updown sally --host %opportunistic --ikeport 8500 --client 10.0.0.0/8
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www.eeworm.com/read/368868/9675192

h cryptapicommon.h

#include //标准I/O头文件 #include //windows头文件 #include //windows加密头文件 #define MY_ENCODING_TYPE (PKCS_7_ASN_ENCODING | X509_ASN_ENCODING) #define KEYLENGTH 0
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www.eeworm.com/read/411034/11259213

h wipe.h

/* Copyright (c) 2008 TrueCrypt Foundation. All rights reserved. Governed by the TrueCrypt License 2.6 the full text of which is contained in the file License.txt included in TrueCrypt binary
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www.eeworm.com/read/200429/15433491

m floyd_warshall_all_sp.m

function D = floyd_warshall_all_sp(A,varargin) % FLOYD_WARSHALL_ALL_SP Compute the weighted all-pairs shortest path problem. % % The Floyd-Warshall algorithm for the all-pairs shortest path problem
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www.eeworm.com/read/386597/2570090

m predict_performance.m

function a = predict_performance(algorithm, algorithm_params, patterns, targets) % Predict the final performance of an algorithm from the learning curves % Inputs: % algorithm - The a
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www.eeworm.com/read/291164/8438955

h x86-mmx.h

/* * This file is part of John the Ripper password cracker, * Copyright (c) 1996-2002 by Solar Designer */ /* * Architecture specific parameters for x86 with MMX. */ #ifndef _JOHN_ARCH_H #defin
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www.eeworm.com/read/286662/8751864

m rda.m

function test_targets = RDA (train_patterns, train_targets, test_patterns, lamda) % Classify using the Regularized descriminant analysis (Friedman shrinkage algorithm) % Inputs: % train_patterns
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