Optimizing C ++
by Steve Heller
Publisher: Prentice Hall PTR 1998
Number of pages: 416
The heart of Optimizing C++ consists of several case studies of database problems that show various searching and compression algorithms, the author's source code, and careful explanation of the solutions. The author use hash coding, caching, Radix40, and binary-coded decimal (BCD) data representation in a supermarket price-lookup database. Distribution-counting sort algorithms and bitmaps that store data efficiently are both used to help build a mailing-list system. In some of the most useful sections of this book, the author looks at Huffman coding and dynamic hashing.
Home page url
Download or read it online for free here:
by Jon Bentley - Addison-Wesley Professional
The book focuses on choosing the right algorithms and on showing how to solve problems effectively. Each chapter frames a particular programming task (sorting numbers, creating anagrams, counting the words). Code examples are written in C and C++.
by Dan Parks Sydow - O'Reilly
This book gives C++ programmers their start to developing the applications on Be operating system. The book begins with simple programs and gradually adds elements of the graphical interface. It carefully describes drawing and message handling.
by Bernt Arne Ødegaard
Useful examples and algorithms for people working within the field of finance. Typical examples are option/derivatives pricing, term structure calculations, mean variance analysis. The author made C++ subroutines that implements common algorithms.
This book contains guidelines and advices on how to write efficient software using the C++ language. Software correctness and maintainability are taken into account, but are not the primary concerns. The book is for intermediate C++ programmers.