
Proper Orthogonal Decomposition Methods for Partial Differential Equations
Description
Key Features
- Explains ways to reduce order for PDEs by means of the POD method so that reduced-order models have few unknowns
- Helps readers speed up computation and reduce computation load and memory requirements while numerically capturing system characteristics
- Enables readers to apply and adapt the methods to solve similar problems for PDEs of hyperbolic, parabolic and nonlinear types
Readership
Graduate students and researchers in mathematically intensive environments who perform large scale computations
Table of Contents
1. Reduced-Order Extrapolation Finite Difference Schemes Based on Proper Orthogonal Decomposition
2. Reduced-Order Extrapolation Finite Element Methods Based on Proper Orthogonal Decomposition
3. Reduced-Order Extrapolation Finite Volume Element Methods Based on Proper Orthogonal Decomposition
4. Epilogue and Outlook
Product details
- No. of pages: 278
- Language: English
- Copyright: © Academic Press 2018
- Published: November 26, 2018
- Imprint: Academic Press
- eBook ISBN: 9780128167991
- Paperback ISBN: 9780128167984
About the Authors
Zhendong Luo
Affiliations and Expertise
Goong Chen
Affiliations and Expertise
Ratings and Reviews
There are currently no reviews for "Proper Orthogonal Decomposition Methods for Partial Differential Equations"