Discovering Modern C++: An Intensive Course for Scientists, Engineers, and Programmers [Lingua inglese]

Gottschling, Peter

Brossura

ISBN 10: 0134383583 ISBN 13: 9780134383583

Casa editrice: Addison-Wesley Professional, 2015

As scientific and engineering projects grow larger and more complex, it is increasingly likely that those projects will be written in C++. With embedded hardware growing more powerful, much of its software is moving to C++, too. Mastering C++ gives you strong skills for programming at nearly every level, from “close to the hardware” to the highest-level abstractions. In short, C++ is a language that scientific and technical practitioners need to know.

 

Peter Gottschling’s Discovering Modern C++ is an intensive introduction that guides you smoothly to sophisticated approaches based on advanced features. Gottschling introduces key concepts using examples from many technical problem domains, drawing on his extensive experience training professionals and teaching C++ to students of physics, math, and engineering.

 

This book is designed to help you get started rapidly and then master increasingly robust features, from lambdas to expression templates. You’ll also learn how to take advantage of the powerful libraries available to C++ programmers: both the Standard Template Library (STL) and scientific libraries for arithmetic, linear algebra, differential equations, and graphs.

 

Throughout, Gottschling demonstrates how to write clear and expressive software using object orientation, generics, metaprogramming, and procedural techniques. By the time you’re finished, you’ll have mastered all the abstractions you need to write C++ programs with exceptional quality and performance.

 

L'autore:

Peter Gottschling is founder of SimuNova, a company that works on developing the Matrix Template Library (MTL4) and offers C++ training. He is a member of the ISO C++ standards committee, vice-chair of Germany’s programming language standards committee, and founder of the C++ User Group in Dresden. He earned his Ph.D. in computer science at Technische Universität Dresden in 2002.