Automatic Differentiation of Algorithms (eBook, PDF)

From Simulation to Optimization
Redaktion: Corliss, George; Naumann, Uwe; Hascoet, Laurent; Griewank, Andreas; Faure, Christele

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 432
• Erscheinungstermin: 21. November 2013
• Englisch
• ISBN-13: 9781461300755
• Artikelnr.: 44179931

Inhaltsangabe

Part titles: Invited Contributions.- Parameter Identification and Least Squares.- Applications in Ode's and Optimal Control.- Applications in PDE's.- Applications in Science and Engineering.- Maintaining and Enhancing Parallelism.- Exploiting Structure and Sparsity.- Space-Time Tradeoffs in the Reverse Mode.- Use of Second and Higher Derivatives.- Error Estimates and Inclusions.