Andrea Walther – författare
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5 produkter
Mathematical Optimization for Machine Learning
Proceedings of the MATH+ Thematic Einstein Semester 2023
Av Konstantin Fackeldey, Aswin Kannan m. fl.
Inbunden, 2025
2355 kr
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Mathematical optimization and machine learning are closely related. This proceedings volume of the Thematic Einstein Semester 2023 of the Berlin Mathematics Research Center MATH+ collects recent progress on their interplay in topics such as discrete optimization, nonlinear programming, optimal …
Recent Advances in Algorithmic Differentiation
Av Shaun Forth, Paul Hovland m. fl.
Inbunden, 2012
1093 kr
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The proceedings represent the state of knowledge in the area of algorithmic differentiation (AD). The 31 contributed papers presented at the AD2012 conference cover the application of AD to many areas in science and engineering as well as aspects of AD theory and its implementation in tools. For …
Recent Advances in Algorithmic Differentiation
Av Andrea Walther, Jean Utke m. fl.
E-bok, 2012
1459 kr
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The proceedings represent the state of knowledge in the area of algorithmic differentiation (AD). The 31 contributed papers presented at the AD2012 conference cover the application of AD to many areas in science and engineering as well as aspects of AD theory and its implementation in tools. For …
Recent Advances in Algorithmic Differentiation
Av Shaun Forth, Paul Hovland m. fl.
Häftad, 2014
1093 kr
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The proceedings represent the state of knowledge in the area of algorithmic differentiation (AD). The 31 contributed papers presented at the AD2012 conference cover the application of AD to many areas in science and engineering as well as aspects of AD theory and its implementation in tools. For …
Evaluating Derivatives
Principles and Techniques of Algorithmic Differentiation
Av Andreas Griewank, Andrea Walther
Häftad, 2008
1098 kr
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Algorithmic, or automatic, differentiation (AD) is a growing area of theoretical research and software development concerned with the accurate and efficient evaluation of derivatives for function evaluations given as computer programs. The resulting derivative values are useful for all scientific …
