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 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.
by Alex Robenko - GitBook
The intended audience of this document is professional C++ developers who want to understand bare metal development a little bit better, get to know how to use C++ language in an embedded environment, and bring their C++ skills to an 'expert' level.
by Samy Pesse - GitHub
Online book about how to write a computer operating system in C/C++ from scratch. The goal is to build a very simple UNIX-based operating system, not just a 'proof-of-concept'. The OS should be able to boot, start a userland shell, and be extensible.
by Frank B. Brokken - University of Groningen
The book for knowledgeable users of C who would like to make the transition to C++. It is the main textbook for C++ programming courses at the University of Groningen. The text does not cover C++'s basic grammar, which is equal to C's grammar.