Automatic differentiation matlab using von coleman thomas (9 Ergebnisse)
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Sprache: Englisch
Verlag: Society for Industrial and Applied Mathematics,U.S., US, 2016
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Paperback. Zustand: New. The calculation of partial derivatives is a fundamental need in scientific computing. Automatic differentiation (AD) can be applied straightforwardly to obtain all necessary partial derivatives (usually first and, possibly, second derivatives) regardless of a code's complexity. However, the space and tim…e efficiency of AD can be dramatically improved - sometimes transforming a problem from intractable to highly feasible - if inherent problem structure is used to apply AD in a judicious manner.This book discusses the efficient use of AD to solve real problems, especially multidimensional zero-finding and optimization, in the MATLAB environment. This book is concerned with the determination of the first and second derivatives in the context of solving scientific computing problems with an emphasis on optimization and solutions to nonlinear systems. The authors focus on the application rather than the implementation of AD, solve real nonlinear problems with high performance by exploiting the problem structure in the application of AD, and provide many easy to understand applications, examples, and MATLAB templates.
Sprache: Englisch
Verlag: Society for Industrial and Applied Mathematics (SIAM), 2016
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Sprache: Englisch
Verlag: Society for Industrial & Applied Mathematics,U.S., 2016
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Automatic Differentiation in MATLAB Using ADMAT with Applications (Software, Environments and Tools)
Sprache: Englisch
Verlag: Society for Industrial & Applied Mathematics, 2016
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Verlag: Society for Industrial & Applied Mathematics,U.S., 2016
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Sprache: Englisch
Verlag: Society for Industrial and Applied Mathematics,U.S., US, 2016
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Paperback. Zustand: New. The calculation of partial derivatives is a fundamental need in scientific computing. Automatic differentiation (AD) can be applied straightforwardly to obtain all necessary partial derivatives (usually first and, possibly, second derivatives) regardless of a code's complexity. However, the space and tim…e efficiency of AD can be dramatically improved - sometimes transforming a problem from intractable to highly feasible - if inherent problem structure is used to apply AD in a judicious manner.This book discusses the efficient use of AD to solve real problems, especially multidimensional zero-finding and optimization, in the MATLAB environment. This book is concerned with the determination of the first and second derivatives in the context of solving scientific computing problems with an emphasis on optimization and solutions to nonlinear systems. The authors focus on the application rather than the implementation of AD, solve real nonlinear problems with high performance by exploiting the problem structure in the application of AD, and provide many easy to understand applications, examples, and MATLAB templates.
