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.
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by JT Kalnay - Smashwords
A book with exhaustive examples of C++ intended to help a C programmer learn and use C++. The book is not organized in a traditional chapter format, included are example programs that illustrate the important points of C++ in an evolutionary manner.
by Jason Turner - GitBook
This document is meant to be a collaborative discussion of the best practices in C++. We fill in some of the lower level details and provide specific stylistic recommendations while also discussing how to ensure overall code quality.
by Colin Campbell, Ade Miller - Microsoft Press
This guide introduces you to the most frequently used patterns of parallel programming and provides executable code samples for them, using PPL. When thinking about where to begin, a good place to start is to review the patterns in this book.
by Roldan Pozo, Karin Remington - NIST
From the table of contents: ANSI C; C++ as a better C; C++ Classes and Objects; Objects in Scientific Computing; Inheritance and Polymorphism; Templates, Exceptions and Observations; Programming Examples; Scientific Library Examples.