Automatic Differentiation of Algorithms : From Simulation to Optimization

George Corliss

ISBN 10: 1461265436 / ISBN 13: 9781461265436

Published by Springer New York, Springer New York, 2014

About this Item

Druck auf Anfrage Neuware - Printed after ordering - Automatic Differentiation (AD) is a maturing computational technology and has become a mainstream tool used by practicing scientists and computer engineers. The rapid advance of hardware computing power and AD tools has enabled practitioners to quickly generate derivative-enhanced versions of their code for a broad range of applications in applied research and development.Automatic Differentiation of Algorithms provides a comprehensive and authoritative survey of all recent developments, new techniques, and tools for AD use. The book covers all aspects of the subject: mathematics, scientific programming (i.e., use of adjoints in optimization) and implementation (i.e., memory management problems). A strong theme of the book is the relationships between AD tools and other software tools, such as compilers and parallelizers. A rich variety of significant applications are presented as well, including optimum-shape design problems, for which AD offers more efficient tools and techniques.

Seller Inventory # 9781461265436

Bibliographic Details

• Title: Automatic Differentiation of Algorithms : From Simulation to Optimization
• Publisher: Springer New York, Springer New York
• Publication Date: 2014
• Language: English
• ISBN 10: 1461265436
• ISBN 13: 9781461265436
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

A state-of-the-art survey book focusing upon the key applications and relationships and synergies between automatic differentiation (AD) tools and other software tools, such as compilers and parallelizers. Essential reading for practitioners and professionals in scientific computing, as well as for computer engineers.