Discovering Modern C++ 2nd 版

購買商店

Discovering Modern C++ 2nd 版

$1,750.00

馬上購買

內容描述

As scientific and engineering projects grow larger and more complex, more are being written in C++. With embedded hardware growing more powerful, much of its software is moving to C++, too. When you master C++, you'll gain 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++, Second Edition is an intensive introduction that guides you smoothly to sophisticated approaches based on advanced features. Thoroughly updated for C++17 and C++ 20, this Second Edition 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. In this Second Edition, Gottschling also presents thorough and expert coverage of multi-threading and variadic templates.
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.

作者介紹

Peter Gottschling is founder of SimuNova, a company that develops 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.