Proper Generalized Decompositions: An Introduction to Computer Implementation with Matlab

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Įprasta kaina: 84,68 
-15% su kodu: ENG15
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Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
71,98 
Įprasta kaina: 84,68 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
2025-02-28 84.6800 InStock
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Knygos aprašymas

This book is intended to help researchers overcome the entrance barrier to Proper Generalized Decomposition (PGD), by providing a valuable tool to begin the programming task. Detailed Matlab Codes are included for every chapter in the book, in which the theory previously described is translated into practice. Examples include parametric problems, non-linear model order reduction and real-time simulation, among others.

Proper Generalized Decomposition (PGD) is a method for numerical simulation in many fields of applied science and engineering. As a generalization of Proper Orthogonal Decomposition or Principal Component Analysis to an arbitrary number of dimensions, PGD is able to provide the analyst with very accurate solutions for problems defined in high dimensional spaces, parametric problems and even real-time simulation.

Informacija

Autorius: Elías Cueto, Icíar Alfaro, David González,
Serija: SpringerBriefs in Applied Sciences and Technology
Leidėjas: Springer Nature Switzerland
Išleidimo metai: 2016
Knygos puslapių skaičius: 108
ISBN-10: 331929993X
ISBN-13: 9783319299938
Formatas: 235 x 155 x 7 mm. Knyga minkštu viršeliu
Kalba: Anglų

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