By H. Martin Bücker,George Corliss,Paul Hovland,Uwe Naumann,Boyana Norris
This assortment covers the state-of-the-art in automated differentiation thought and perform. Practitioners and scholars will find out about advances in computerized differentiation suggestions and methods for
the implementation of sturdy and strong instruments. Computational scientists and engineers will enjoy the dialogue of functions, which offer perception into potent recommendations for utilizing automated 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