CppReference
對于c/c++的詳盡說明
C/C++ Reference
General C/C++
Pre-processor commands
Operator Precedence
Escape Sequences
ASCII Chart
Data Types
Keywords
Standard C Library
Standard C I/O
Standard C String & Character
Standard C Math
Standard C Time & Date
Standard C Memory
Other standard C functions
All C Functions
C++
C++ I/O
C++ Strings
C++ String Streams
Miscellaneous C++
C++ Standard Template Library
C++ Algorithms
C++ Vectors
C++ Double-Ended Queues
C++ Lists
C++ Priority Queues
C++ Queues
C++ Stacks
C++ Sets
C++ MultiSets
C++ Maps
C++ Multimaps
C++ BitSets
Iterators
All C++ Functions
DSR-UU is a DSR implementation that runs in Linux and in the ns-2 network simulator.
DSR-UU implements most of the basic DSR features specified in the DSR
draft (version 10). One big exception is flow extensions.
DSR-UU does NOT use ARP, so do not be surprised if you do not see ARP
traffic. DSR-UU instead uses its own neighbor table that Sets up the
MAC-to-IP translation during route discovery.
These instances, whenmapped to an N-dimensional space, represent a core set that can be
used to construct an approximation to theminimumenclosing ball. Solving the SVMlearning
problem on these core Sets can produce a good approximation solution in very fast speed.
For example, the core-vector machine [81] thus produced can learn an SVM for millions of
data in seconds.
數值計算牛頓迭代法的matlab源程序
說明如下：
％fun----input,the part as the form of f(x) in the equation f(x)=0
％ ini----input,Sets the starting point to ini
％ err----input,Sets admissible error
％ sol----output,returns the root of equation
The file contains a demo of how tabbed content is organized in a web page.Its highly useful as current day websites the information is organized in to Sets of data.Each information can be grouped under each tab
Alicebot and AIML Software Implementations
The AI Foundation and our community has three open source free software "products"
1. The specification of the AIML language itself.
2. Various free software interpreters that implement (1).
3. The contents of the ALICE brain written in AIML (and other free AIML Sets that exist).
Master the essentials of concurrent programming,including testing and debugging
This textbook examines languages and libraries for multithreaded programming. Readers learn how to create threads in Java and C++, and develop essential concurrent programming and problem-solving skills. Moreover, the textbook Sets itself apart from other comparable works by helping readers to become proficient in key testing and debugging techniques. Among the topics covered, readers are introduced to the relevant aspects of Java, the POSIX Pthreads library, and the Windows Win32 Applications Programming Interface.
QuickSteps books are recipe books for computer users. They answer the
question 揌ow do I...??by providing a quick set of steps to accomplish the
most common tasks with a particular program. The Sets of steps are the
central focus of the book. Sidebar QuickSteps provide information on how to
do quickly many small functions or tasks that are in support of the primary
functions. Sidebar QuickFacts supply information that you need to know about
a subject. Notes, Tips, and Cautions augment the steps, but they are presented
in a separate column to not interrupt the fl ow. Brief introductions are present,
but there is minimal narrative otherwise. Many illustrations and fi gures, a
number with callouts, are also included where they support the steps.
This book covers the fundamental concepts of data mining, to demonstrate the potential of gathering large Sets of data, and analyzing these data Sets to gain useful business understanding. The book is organized in three parts. Part I introduces concepts. Part II describes and demonstrates basic data mining algorithms. It also contains chapters on a number of different techniques often used in data mining. Part III focusses on business applications of data mining. Methods are presented with simple examples, applications are reviewed, and relativ advantages are evaluated.
This C++ code example demonstrates how to localise an application to adapt to the selected phone language. The example application has two Sets of localised strings (English and German) for the application name, labels, text, and image. The application also includes number, currency, date, and time localisation, in which the TLocale method is used for localisation even if the selected phone language is neither one of the two application languages. The updated example has been tested to support S60 5th Edition and touch UI.
