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This book introduces the art of programming in C++. The topics covered range from simple C++ programmes to programme features such as classes, templates, and namespaces. Emphasis is placed on developing a good programming technique and demonstrating when and how to use the advanced features of C++. This revised and extended second edition includes: the Standard Template Library (STL), a major addition to the ANSI C++ standard; full coverage of all the major topics of C++, such as templates; and practical tools developed for object-oriented computer graphics programming. All code program files and exercises are ANSI C++ compatible and have been compiled on both Borland C++ v5.5 and GNU/Linux g++ v2.91 compilers. They are available from the author's web site.
An Indispensable Text On The Subject, Object-Oriented Programming With C++ Aims At Providing A Sound Appreciation Of The Fundamentals And Syntax Of The Language As Also Of The Powerful Concepts And Their Applicability In Real-Life Problems. Emphasis Has Been Laid On The Reusability Of Code In Object-Oriented Programming And How The Concepts Of Class, Objects, Inheritance, Polymorphism, Friend Functions, And Operator Overloading Are All Geared To Make The Development And Maintenance Of Applications Easy, Convenient And Economical.
Written by a bestselling and well-known author, this is the only book on programming for Linux using GNU C++, covering all aspects of Linux including fundamentals, object-oriented programming, advanced techniques, X Windows, and more. CD contains Red Hat Linux source code and all the code from the text.
Here is a complete package for programmers who are new to UNIX or who would like to make better use of the system. The book provides an introduction to all the tools needed for a C programmer. The CD contains sources and binaries for the most popular GNU tools, including their C/C++ compiler.
Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.