Implementation of Edmonds Karp algorithm that calculates maxFlow of graph. Input: For each test case, the first line contains the number of vertices (n) and the number of arcs (m). Then, there exist m lines, one for each arc (source vertex, ending vertex and arc weight, separated by a space). The nodes are numbered from 1 to n. The node 1 and node n should be in different sets. There are no more than 30 arcs and 15 nodes. The arc weights vary between 1 and 1 000 000. Output: The output is a single line for each case, with the corresponding minimum size cut. Example: Input: 7 11 1 2 3 1 4 3 2 3 4 3 1 3 3 4 1 3 5 2 4 6 6 4 5 2 5 2 1 5 7 1 6 7 9 Output: 5
標(biāo)簽： Implementation calculates algorithm Edmonds
上傳時(shí)間： 2014-01-04
上傳用戶(hù)：kiklkook
KNN算法實(shí)現(xiàn)，初始化模糊成員等級(jí) initialize fuzzy membership grades of sample output for fuzzy KNN
上傳時(shí)間： 2013-12-25
上傳用戶(hù)：waizhang
AM26C31CLow Power, I CC = 100 ƒ ⊂ A Typ Operate From a Single 5-V Supply High Speed, t PLH = t PHL = 7 ns Typ Low Pulse Distortion, t sk(p) = 0.5 ns Typ High Output Impedance in Power-Off Conditions Improved Replacement for AM26LS31
標(biāo)簽： Operate Single Supply Power
上傳時(shí)間： 2014-01-20
上傳用戶(hù)：gtzj
VideoMan (Video Manager) is an open-source C++ library that helps you developing video based applications. We created VideoMan to increase our productivity developing computer vision applications, but it can be used in many other ways. With VideoMan is very easy and fast to initialize any kind of video input like webcams, video files, frame grabbers, IEEE 1394 cameras and so on. You can initialize multiple inputs at the same time and show them in the screen. Also, you can show the results of the processing steps of your computer vision algorithm (extracted edges, back projections, detected blobs...) This way you can see the results of what are you coding, checking the results of your algorithm steps. Moreover, the implemented visualization scheme make easier to combine computer graphics with video, for example to show a 3d model on top of video for augmented reality applications.
標(biāo)簽： open-source developing VideoMan Manager
上傳時(shí)間： 2014-01-21
上傳用戶(hù)：chongcongying
sba, a C/C++ package for generic sparse bundle adjustment is almost invariably used as the last step of every feature-based multiple view reconstruction vision algorithm to obtain optimal 3D structure and motion (i.e. camera matrix) parameter estimates. Provided with initial estimates, BA simultaneously refines motion and structure by minimizing the reprojection error between the observed and predicted image points.
標(biāo)簽： adjustment invariably package generic
上傳時(shí)間： 2013-12-18
上傳用戶(hù)：xsnjzljj
SQL Performance Tuning is a handbook of practical solutions for busy database professionals charged with managing an organization s critically important data. Covering today s most popular and widely installed database environments, this book is an indispensable resource for managing and tuning SQL across multiple platforms.
標(biāo)簽： professionals Performance practical solutions
上傳時(shí)間： 2013-12-20
上傳用戶(hù)：jjj0202
These codes require an ASCII input file called input.dat of the following form: Lower Limit on x Upper Limit on x Final Time Pressure for x<0 when t=0 Density for x<0 when t=0 Speed for x<0 when t=0 Pressure for x>0 when t=0 Density for x>0 when t=0 Speed for x>0 when t=0 These codes produce 8 ASCII output files: density.out. Density vs. x entropy.out. Entropy vs. x mach.out. Mach number vs. x massflux.out. Mass flux vs. x pressure.out. Pressure vs. x sound.out. Speed-of-sound vs. x velocity.out. Velocity vs. x waves.out. A description of the solution in terms of the three waves defined in the book (+,-,0).
標(biāo)簽： input following require called
上傳時(shí)間： 2017-09-21
上傳用戶(hù)：希醬大魔王
svd 算法代碼 This directory contains instrumented SVDPACKC Version 1.0 (ANSI-C) programs for compiling within the "svdrun" script. The "svdsum" script can be run after all output files of the form <dataset>.outN, where N=1,2,... have been produced by svdrun. more details please read the file readme!
標(biāo)簽： instrumented directory compiling SVDPACKC
上傳時(shí)間： 2017-09-24
上傳用戶(hù)：manking0408
A design about 8051 (running at 12MHz) based system with 3 7-Seg displays and two buttons to implement the following functions. 1. When press the + button, the display C = A+B. 2. When press the button, the display C = A - B. “A” and “B” are 8-bit inputs when “C” is 9-bit output.
上傳時(shí)間： 2015-05-05
上傳用戶(hù)：guoxiy
Boost C++ Libraries Free peer-reviewed portable C++ source libraries Boost C++ Libraries 基本上是一個(gè)免費(fèi)的 C++ 的跨平臺(tái)函式庫(kù)集合，基本上應(yīng)該可以把它視為 C++ STL 的功能再延伸；他最大的特色在於他是一個(gè)經(jīng)過(guò)「同行評(píng)審」（peer review，可參考維基百科）、開(kāi)放原始碼的函式庫(kù)，而且有許多 Boost 的函式庫(kù)是由 C++ 標(biāo)準(zhǔn)委員會(huì)的人開(kāi)發(fā)的，同時(shí)部分函式庫(kù)的功能也已經(jīng)成為 C++ TR1 (Technical Report 1，參考維基百科)、TR2、或是 C++ 0x 的標(biāo)準(zhǔn)了。 它的官方網(wǎng)站是：http://www.boost.org/，包含了 104 個(gè)不同的 library；由於他提供的函式庫(kù)非常地多，的內(nèi)容也非常地多元，根據(jù)官方的分類(lèi)，大致上可以分為下面這二十類(lèi)： 字串和文字處理（String and text processing） 容器（Containers） Iterators 演算法（Algorithms） Function objects and higher-order programming 泛型（Generic Programming） Template Metaprogramming Preprocessor Metaprogramming Concurrent Programming 數(shù)學(xué)與數(shù)字（Math and numerics） 正確性與測(cè)試（Correctness and testing） 資料結(jié)構(gòu)（Data structures） 影像處理（Image processing） 輸入、輸出（Input/Output） Inter-language support 記憶體（Memory） 語(yǔ)法分析（Parsing） 程式介面（Programming Interfaces） 其他雜項(xiàng) Broken compiler workarounds 其中每一個(gè)分類(lèi)，又都包含了一個(gè)或多個(gè)函式庫(kù)，可以說(shuō)是功能相當(dāng)豐富。
標(biāo)簽： Boost C++ Libraries
上傳時(shí)間： 2015-05-15
上傳用戶(hù)：fangfeng
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