By H. Martin Bücker,George Corliss,Paul Hovland,Uwe Naumann,Boyana Norris
This assortment covers the cutting-edge in computerized differentiation thought and perform. Practitioners and scholars will know about advances in automated differentiation ideas and methods for
the implementation of sturdy and robust instruments. Computational scientists and engineers will enjoy the dialogue of purposes, which supply perception into powerful concepts 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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