By H. Martin Bücker,George Corliss,Paul Hovland,Uwe Naumann,Boyana Norris
This assortment covers the state-of-the-art in computerized differentiation concept and perform. Practitioners and scholars will know about advances in automated differentiation strategies and methods for
the implementation of sturdy and strong instruments. Computational scientists and engineers will enjoy the dialogue of purposes, which supply perception into powerful options for utilizing computerized differentiation for
layout optimization, sensitivity research, and uncertainty quantification.
Read or Download Automatic Differentiation: Applications, Theory, and Implementations: Applications, Theory and Implementations: 50 (Lecture Notes in Computational Science and Engineering) PDF
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Extra info for Automatic Differentiation: Applications, Theory, and Implementations: Applications, Theory and Implementations: 50 (Lecture Notes in Computational Science and Engineering)
Automatic Differentiation: Applications, Theory, and Implementations: Applications, Theory and Implementations: 50 (Lecture Notes in Computational Science and Engineering) by H. Martin Bücker,George Corliss,Paul Hovland,Uwe Naumann,Boyana Norris