**Book Name**: Proper Generalized Decompositions: An Introduction to Computer Implementation with Matlab

**Author**: Elías Cueto, David González, Icíar Alfaro (auth.)

**Publisher**: Springer International Publishing

**ISBN-10**: 978-3-319-29993-8, 978-3-319-29994-5

**Year**: 2016

**Pages**: 96

**Language**: English

**File size**: 3 Mb

**File format**: PDF

### Proper Generalized Decompositions: An Introduction to Computer Implementation with Matlab Pdf Book Description:

This publication is meant to assist researchers overcome the entry barrier to Suitable Generalized Decomposition (PGD), by giving a valuable instrument to start the programming job. Thorough Matlab Codes are included for each and every chapter from the book, where the concept formerly explained is translated to practice. Examples include parametric difficulties, non-linear model order reduction and real time simulation, amongst others.

Suitable Generalized Decomposition (PGD) is a technique for numerical simulation in several areas of engineering and engineering. As a generalization of Proper Orthogonal Decomposition or Principal Component Analysis into a arbitrary number of measurements, PGD can present the analyst with quite precise answers for issues defined in large dimensional spaces, parametric difficulties and perhaps even real-life simulation.