By H. Martin Bücker,George Corliss,Paul Hovland,Uwe Naumann,Boyana Norris
This assortment covers the state-of-the-art in computerized differentiation conception and perform. Practitioners and scholars will know about advances in automated differentiation recommendations and methods for
the implementation of sturdy and robust instruments. Computational scientists and engineers will enjoy the dialogue of purposes, which offer perception into powerful innovations for utilizing computerized differentiation for
layout optimization, sensitivity research, and uncertainty quantification.
Read Online 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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Additional 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