Visit our Christmas Gift Finder
Automatic Differentiation of Algorithms: From Simulation to Optimization (Paperback)
  • Automatic Differentiation of Algorithms: From Simulation to Optimization (Paperback)

Automatic Differentiation of Algorithms: From Simulation to Optimization (Paperback)

(editor), (editor), (editor), (editor), (editor)
Paperback 432 Pages / Published: 27/01/2014
  • We can order this

Usually dispatched within 3 weeks

  • This item has been added to your basket
A survey book focusing on the key relationships and synergies between automatic differentiation (AD) tools and other software tools, such as compilers and parallelizers, as well as their applications. The key objective is to survey the field and present the recent developments. In doing so the topics covered shed light on a variety of perspectives. They reflect the mathematical aspects, such as the differentiation of iterative processes, and the analysis of nonsmooth code. They cover the scientific programming aspects, such as the use of adjoints in optimization and the propagation of rounding errors. They also cover "implementation" problems.

Publisher: Springer-Verlag New York Inc.
ISBN: 9781461265436
Number of pages: 432
Weight: 706 g
Dimensions: 235 x 155 x 24 mm
Edition: Softcover reprint of the original 1st ed. 200

You may also be interested in...

Computer Science Illuminated
Added to basket
Artificial Intelligence: The Basics
Added to basket
Portfolio, programme and project offices
Added to basket
Networks: A Very Short Introduction
Added to basket
How to Pass Higher Computing Science
Added to basket
Machine Learning
Added to basket
Experience Design
Added to basket
Don't Make Me Think, Revisited
Added to basket
Physical Computation
Added to basket
The Singularity Is Near
Added to basket
Introducing Artificial Intelligence
Added to basket
Quantum Computing
Added to basket
Data Analysis with Open Source Tools
Added to basket


Please sign in to write a review

Your review has been submitted successfully.