Unlike any other on the market, this book approaches C++ from a game programming perspective. Offering a thorough and modern introduction to C++, this book has everything you need in order to learn the fundamentals of C++ and game programming basics. While you should have some familiarity with programming, there is no C++ or game programming experience necessary — the book starts you off right at the beginning of C++ and game programming.

You'll glide through small, but complete programs, that are usually game-related, for each new concept, and a complete game program at the end of each chapter. Finally, at the end of the book, you'll be presented with a game project that combines most of the major topics covered. Skillfully written in an easy-to-understand manner, this book is a great place to get started with game programming!

This book is designed for a course in Data Structures where C++ is the programming language. The book focuses on abstract data types as viewed from three different persepctives: their specification, their application, and their implementation.

C++ by Dissection presents a thorough introduction to the programming process by carefully developing working programs to illuminate key features of the C++ programming language. This book presents the concepts of the programming process using the "dissection" method, the hallmark feature that has made Ira Pohl's C and Java books of the "By Dissection" series so popular. Dissection is a unique pedagogical tool first developed by the author to point out key features of program code. It is similar to a structured walk-through of the code, with the intention of explaining newly encountered programming elements and idioms as found in working code. The book includes a CD-ROM containing a compiler and an electronic version of the book that allows readers to search, take notes, and highlight right on their computer. Each chapter presents a number of carefully explained programs, which lead the reader in a holistic manner to ever-improving programming skills. Right from the start, the reader is introduced to complete programs, and at an early point in the book, the reader is introduced to writing functions as a major feature of structured programming. It contains four to seven small code dissections per chapter, and then each chapter culminates with a larger, extended code dissection. "Software Engineering" sections in each chapter reinforce sound software engineering skills. The book assumes no programming background and can be used by first-time computer users or by experienced programmers who are transitioning to C++.

Author Herb Schildt is the world's best-selling C++ author with more than 2 million books sold. The most complete coverage of the newly updated ANSI C++ Standard–including updated material on the STL, namespace naming methods, an new classes. An easy-to-follow, three-part organization: I) Description of the root of C++; II) Detailed coverage of C++'s OOP components and classes; III) Effective C++ software application development.

Designing Components with the C++ STL, by Ulrich Breymann, is a first-rate computer-science introduction to the generic algorithms and data structures of the C++ Standard Template Libraries.

Designing Components with the C++ STL assumes knowledge of C++ syntax and template syntax, anticipating that you have probably seen the STL already and are ready for a mildly strenuous classic introduction, one based on applying fundamental algorithms of STL to the library's basic data entities. The deepest algorithmic water is reached dealing with associative arrays, matrices, and graphs.

The main virtue of this book is that it is enjoyable to read, in that it teaches simply, clearly, and at a uniform pace as befits a college text. It's also charmingly short for a work so intensely detailed. More breadth-exhaustive works exist; Designing Components with the C++ STL focuses on covering the critical middle with occasional excursions to the outer bounds.

Jesse Liberty's C++ Unleashed presents focused explanations of the core features and complexities of C++. The text covers advanced object-oriented analysis and design strategies and implementation issues associated with memory management, STL container classes, iterators, and algorithms. Manipulate data using dynamic data structures and recursion, efficient sorting algorithms, and advanced hashing and parsing techniques.

Aimed at the Visual C++ newcomer, Core C++: A Software Engineering Approach provides a rich and sometimes densely packed tour of the language, with plenty of advice on the best ways to use this powerful programming language effectively. It's full to the brim with useful advice for creating and using classes effectively, and gaining an expert's understanding of the language. The writing style and presentation of C++ in this book are outstanding. The explanations of key C++ concepts, from basic language features to class design to advanced C++ whistles and bells, are by turns colloquial, garrulous, and almost always enjoyable and understandable. While it's not uncommon for today's computer book to weigh in at over 1,000 pages, the raw word count here is quite exceptional. You're challenged repeatedly to think for yourself, and the intricacies of C++ are exposed thoroughly, from language features that are indispensable to what to avoid in your code.

You'll get pretty much everything that you need to learn C++ effectively, starting with basic keywords, data types, flow-control statements, and arrays. The guide to understanding object-oriented concepts, like coupling and cohesion, will help you design better classes. Even experienced programmers will appreciate the thorough coverage of memory-management techniques in C++ (including the five kinds of scopes for variables).

 Image algebra is a comprehensive, unifying theory of image transformations, image analysis, and image understanding. In 1996, the bestselling first edition of the Handbook of Computer Vision Algorithms in Image Algebra introduced engineers, scientists, and students to this powerful tool, its basic concepts, and its use in the concise representation of computer vision algorithms. Updated to reflect recent developments and advances, the second edition continues to provide an outstanding introduction to image algebra. It describes more than 80 fundamental computer vision techniques and introduces the portable iaC++ library, which supports image algebra programming in the C++ language. Revisions to the first edition include a new chapter on geometric manipulation and spatial transformation, several additional algorithms, and the addition of exercises to each chapter. The authors-both instrumental in the groundbreaking development of image algebra-introduce each technique with a brief discussion of its purpose and methodology, then provide its precise mathematical formulation. In addition to furnishing the simple yet powerful utility of image algebra, the Handbook of Computer Vision Algorithms in Image Algebra supplies the core of knowledge all computer vision practitioners need. It offers a more practical, less esoteric presentation than those found in research publications that will soon earn it a prime location on your reference shelf.

This book greatly expands the public domain "Ellemtel" C++ coding standard. Guidelines have been carefully selected and consisely formulated to define a C++ coding standard that should be valid and usable for almost all programmers. Text and code examples explain each individual rule and recommendation. Adopting this book as the company C++ coding standard helps remove an obstacle when trying to be certified for ISO 9000 or CMM. The book covers naming conventions, code organization, resource management, class interface design, object-oriented programming, conversions, error handling, portability, coding style.

This book is the definitive and most comprehensive guide to modeling derivatives in C++ today. Providing readers with not only the theory and math behind the models, as well as the fundamental concepts of financial engineering, but also actual robust object-oriented C++ code, this is a practical introduction to the most important derivative models used in practice today, including equity (standard and exotics including barrier, lookback, and Asian) and fixed income (bonds, caps, swaptions, swaps, credit) derivatives. The book provides complete C++ implementationsfor many of the most important derivatives and interest rate pricing models used on Wall Street including Hull-White, BDT, CIR, HJM, and LIBOR Market Model. London illustrates the practical and efficient implementations of these models in real-world situations and discusses the mathematical underpinnings and derivation of the models in a detailed yet accessible manner illustrated by many examples with numerical data as well as real market data.