Name: Proper Orthogonal Decomposition Methods for Partial Differential Equations (Mathematics in Science and Engineering) (en Inglés)
SKU: 51878238
Price: 2524.12 MXN
Availability: InStock
Author: Zhendong Luo; Goong Chen
ISBN: 9780128167984

portada Proper Orthogonal Decomposition Methods for Partial Differential Equations (Mathematics in Science and Engineering) (en Inglés)

Proper Orthogonal Decomposition Methods for Partial Differential Equations (Mathematics in Science and Engineering) (en Inglés)

Formato

Libro Físico

Editorial

Academic Press

Autor

Zhendong Luo; Goong Chen

Año

2018

Idioma

Inglés

N° páginas

278

Encuadernación

Tapa Blanda

ISBN13

9780128167984

N° edición

Categorías

Matemáticas aplicadas

Proper Orthogonal Decomposition Methods for Partial Differential Equations (Mathematics in Science and Engineering) (en Inglés)

Zhendong Luo; Goong Chen (Autor) · Academic Press · Tapa Blanda

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Reseña del libro "Proper Orthogonal Decomposition Methods for Partial Differential Equations (Mathematics in Science and Engineering) (en Inglés)"

Proper Orthogonal Decomposition Methods for Partial Differential Equations evaluates the potential applications of POD reduced-order numerical methods in increasing computational efficiency, decreasing calculating load and alleviating the accumulation of truncation error in the computational process. Introduces the foundations of finite-differences, finite-elements and finite-volume-elements. Models of time-dependent PDEs are presented, with detailed numerical procedures, implementation and error analysis. Output numerical data are plotted in graphics and compared using standard traditional methods. These models contain parabolic, hyperbolic and nonlinear systems of PDEs, suitable for the user to learn and adapt methods to their own R&D problems.Explains ways to reduce order for PDEs by means of the POD method so that reduced-order models have few unknownsHelps readers speed up computation and reduce computation load and memory requirements while numerically capturing system characteristicsEnables readers to apply and adapt the methods to solve similar problems for PDEs of hyperbolic, parabolic and nonlinear types