Just what is a regular expression, anyway? Take the tutorial to get the long answer. The short answer is that a regular expression is a compact way of describing complex patterns in texts. You can use them to search for patterns and, once found, to modify the patterns in complex ways. You can also use them to launch programmatic actions that depend on patterns. A tongue-in-cheek comment by programmers is worth thinking about: "Sometimes you have a programming problem and it seems like the best solution is to use regular expressions now you have two problems." Regular expressions are amazingly powerful and deeply expressive. That is the very reason writing them is just as error-prone as writing any other complex programming code. It is always better to solve a genuinely simple problem in a simple way when you go beyond simple, think about regular expressions. Tutorial: Using regular expressions
標簽： expression the tutorial regular
上傳時間： 2013-12-19
上傳用戶：sardinescn
A dissipative particle swarm optimization is developed according to the self-organization of dissipative structure. The negative entropy is introduced to construct an opening dissipative system that is far-from-equilibrium so as to driving the irreversible evolution process with better fitness. The testing of two multimodal functions indicates it improves the performance effectively. structure. The negative entropy is introduced to construct an opening dissipative system that is far-from-equilibrium so as to driving the irreversible evolution process with better fitness. The testing of two multimodal functions indicates it improves the performance effectively.
標簽： self-organization optimization dissipative developed
上傳時間： 2016-03-31
上傳用戶：zgu489
更新內容： 1 增加了搜索功能 2 提供了幫助頁面 修改若干小問題 管理名稱 admin 初始密碼：admin-update : added a search function to help provide two pages of small amendments to a number of issues management initial name admin Password : admin
標簽： admin-update function search admin
上傳時間： 2014-01-06
上傳用戶：cmc_68289287
三維矢量有限元-矩量法電磁場分析程序。 EMAP5 is a full-wave electromagnetic field solver that combines the method of moments (MOM) with a vector finite element method (VFEM). It employs the finite element method (FEM) to analyze a dielectric volume, and employs the method of moments (MoM) to solve for currents on the surface of (or external to) this volume. The two methods are coupled through the fields on the dielectric surface.
標簽： electromagnetic full-wave combines solver
上傳時間： 2016-04-03
上傳用戶：cylnpy
模式識別學習綜述.該論文的英文參考文獻為303篇.很有可讀價值.Abstract— Classical and recent results in statistical pattern recognition and learning theory are reviewed in a two-class pattern classification setting. This basic model best illustrates intuition and analysis techniques while still containing the essential features and serving as a prototype for many applications. Topics discussed include nearest neighbor, kernel, and histogram methods, Vapnik–Chervonenkis theory, and neural networks. The presentation and the large (thogh nonexhaustive) list of references is geared to provide a useful overview of this field for both specialists and nonspecialists.
標簽： statistical Classical Abstract pattern
上傳時間： 2013-11-25
上傳用戶：www240697738
The IA-32 Intel Architecture Software Developer’s Manual, Volume 2: Instruction Set Reference (Order Number 245471) is part of a three-volume set that describes the architecture and programming environment of all IA-32 Intel® Architecture processors. the IA-32 Intel Architecture Software Developer’s Manual, Volume 2, describes the instructions set of the processor and the opcode structure. These two volumes are aimed at application programmers who are writing programs to run under existing operating systems or executives.
標簽： Architecture Instruction Developer Reference
上傳時間： 2013-12-15
上傳用戶：xsnjzljj
EclipseTrader is a stock exchange analysis system, featuring shares pricing watch, intraday and history charts with technical analysis indicators, level II/market depth view, news watching, automated trading systems, integrated trading.
標簽： EclipseTrader featuring exchange analysis
上傳時間： 2016-04-13
上傳用戶：shizhanincc
The second volume in the Write Great Code series supplies the critical information that today s computer science students don t often get from college and university courses: How to carefully choose their high-level language statements to produce efficient code. Write Great Code, Volume 2: Thinking Low-Level, Writing High-Level, teaches software engineers how compilers translate high-level language statements and data structures into machine code. Armed with this knowledge, a software engineer can make an informed choice concerning the use of those high-level structures to help the compiler produce far better machine code--all without having to give up the productivity and portability benefits of using a high-level language
標簽： information the critical supplies
上傳時間： 2014-02-21
上傳用戶：luke5347
ET++ is a portable and homogenous object-oriented class library integrating user interface building blocks, basic data structures, and high level application framework components. ET++ eases the building of highly interactive applications with consistent user interfaces following the direct manipulation principle. The ET++ class library is implemented in C++ and can be used on several operating systems and window system platforms. Since its initial conception the class library has been continuously redesigned and improved. It started with an architecture which was close to MacApp. During several iterations a new and unique architecture evolved. A byproduct of the ET++ project is a set of tools, which were designed to support the exploration of ET++ applications at run-time. 設計模式一書引用的主要參考例程，一個跨平臺的應用框架，基于C++實現，是學習面向對象的經典源碼.
標簽： object-oriented integrating homogenous interface
上傳時間： 2016-04-15
上傳用戶：tedo811
In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets.
標簽： Rauch-Tung-Striebel algorithm smoother which
上傳時間： 2016-04-15
上傳用戶：zhenyushaw
