How to think like a Computer Scientist (C++ Version)
by Allen B. Downey
Number of pages: 189
The goal of this book is to teach you to think like a computer scientist. I like the way computer scientists think because they combine some of the best features of Mathematics, Engineering, and Natural Science. Like mathematicians, computer scientist use formal languages to denote ideas (specifically compuations). Like engineers, they design things, assembling components into systems and evaluating tradeoffs among alternatives. Like scientists, they observe the behavior of complex systems, form hypotheses, and test predictions.
Home page url
Download or read it online for free here:
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 Agner Fog - Agner.org
This is an optimization manual for advanced C++ programmers. Topics: The choice of platform and operating system. Choice of compiler and framework. Finding performance bottlenecks. The efficiency of different C++ constructs. Multi-core systems. Etc.
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.
by Steve Heller - Prentice Hall PTR
The book provides C++ programmers with a practical approach to code optimization. The text consists of case studies of database problems with various searching and compression algorithms, the source code, and explanation of the solutions.