Name: Automatic Differentiation in MATLAB Using Admat with Applications (en Inglés)
Price: 97.33 USD
Availability: InStock
Author: Coleman, Thomas F. ; Xu, Wei
ISBN: 9781611974355

portada Automatic Differentiation in MATLAB Using Admat with Applications (en Inglés)

Automatic Differentiation in MATLAB Using Admat with Applications (en Inglés)

Formato

Libro Físico

Autor

Wei Xu

Thomas F. Coleman

Editorial

Society for Industrial and Applied Mathematic

Idioma

Inglés

N° páginas

117

Encuadernación

Tapa Blanda

ISBN13

9781611974355

Categorías

Matemáticas

Automatic Differentiation in MATLAB Using Admat with Applications (en Inglés)

Wei Xu (Autor) · Thomas F. Coleman (Autor) · Society for Industrial and Applied Mathematic · Tapa Blanda

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Reseña del libro "Automatic Differentiation in MATLAB Using Admat with Applications (en Inglés)"

The calculation of partial derivatives is fundamental in scientific computing. Automatic differentiation (AD) can be applied straightforwardly to obtain all necessary partial derivatives, regardless of a code's complexity. However, the space and time 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. Discussing the efficient use of AD to solve real problems in the MATLAB environment, especially multidimensional zero-finding and optimization, this book is concerned with determination of the first and second derivatives, with emphasis placed on optimization and solutions to nonlinear systems. The authors focus on the application, rather than the implementation, of AD and solve real nonlinear problems with high performance by exploiting the problem structure in AD's application. Many easy-to-understand applications, examples, and MATLAB templates are provided, meaning this book will prove useful to financial engineers, quantitative analysts, and researchers.