Reduced basis methods for partial differential equations : an introduction /
This book provides a basic introduction to reduced basis (RB) methods for problems involving the repeated solution of partial differential equations (PDEs) arising from engineering and applied sciences, such as PDEs depending on several parameters and PDE-constrained optimization. The book presents...
| Main Authors: | , , |
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| Format: | Book |
| Language: | English |
| Published: |
Cham ; New York :
Springer,
[2016]
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| Series: | Unitext ;
92. |
| Subjects: |
Table of Contents:
- 1 Introduction
- 2 Representative problems: analysis and (high-fidelity) approximation
- 3 RB method: basic principle, basic properties
- 4 On the algebraic and geometric structure of RB methods
- 5 The theoretical rationale behind
- 6 Construction of RB spaces by SVD-POD
- 7 Construction of RB spaces by the greedy algorithm-- 8 RB methods in Action: Setting up the problem
- 9 RB methods in Action: Computing the solution
- 10 Extension to Nonaffine problem
- 11 Extension to nonlinear problems
- 12 Reduction and control
- Appendix A Basic theoretical tools.