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A survey book focusing on the key relationships and synergies between automatic differentiation (AD) tools and other software tools, such as compilers and paral
Introduction to Derivative-Free Optimization
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The first contemporary comprehensive treatment of optimization without derivatives. This text explains how sampling and model techniques are used in derivative-
Large-Scale PDE-Constrained Optimization
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Optimal design, optimal control, and parameter estimation of systems governed by partial differential equations (PDEs) give rise to a class of problems known as
Evaluating Derivatives
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This title is a comprehensive treatment of algorithmic, or automatic, differentiation. The second edition covers recent developments in applications and theory,
Advances in Automatic Differentiation
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The Fifth International Conference on Automatic Differentiation held from August 11 to 15, 2008 in Bonn, Germany, is the most recent one in a series that began