Data Structures and Algorithm Analysis in C++
by Clifford A. Shaffer
Publisher: Dover Publications 2012
Number of pages: 613
A comprehensive treatment focusing on the creation of efficient data structures and algorithms, this text explains how to select or design the data structure best suited to specific problems. It uses C++ as the programming language and is suitable for second-year data structure courses and computer science courses in algorithmic analysis.
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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.
by Andrey Karpov
In this article you will find 42 recommendations about coding in C++ that can help a programmer avoid a lot of errors, save time and effort. Every recommendation is given with a practical example, which proves the currentness of this question.
by Steve Oualline - No Starch Press
This book contains a collection of hacks born out of Steve Oualline's over forty years of programming experience. Here you will find all sorts of hacks to make your programs more reliable, more readable, and easier to debug.
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.