TY  - BOOK
AU  - Quarteroni,Alfio
AU  - Manzoni,Andrea
AU  - Negri,Federico
ED  - SpringerLink (Online service)
TI  - Reduced Basis Methods for Partial Differential Equations: An Introduction 
T2  - La Matematica per il 3+2,
SN  - 9783319154312
AV  - QA370-380 
U1  - 515.353 23
PY  - 2016///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Differential equations, partial
KW  - Engineering mathematics
KW  - Hydraulic engineering
KW  - Partial Differential Equations
KW  - Mathematical Modeling and Industrial Mathematics
KW  - Mathematical and Computational Engineering
KW  - Engineering Fluid Dynamics
N1  - 1 Introduction -- 2 Representative problems: analysis and (high-fidelity) approximation -- 3 Getting parameters into play -- 4 RB method: basic principle, basic properties -- 5 Construction of reduced basis spaces -- 6 Algebraic and geometrical structure -- 7 RB method in actions -- 8 Extension to nonaffine problems -- 9 Extension to nonlinear problems -- 10 Reduction and control: a natural interplay -- 11 Further extensions -- 12 Appendix A Elements of functional analysis
N2  - 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 a general mathematical formulation of RB methods, analyzes their fundamental theoretical properties, discusses the related algorithmic and implementation aspects, and highlights their built-in algebraic and geometric structures. More specifically, the authors discuss alternative strategies for constructing accurate RB spaces using greedy algorithms and proper orthogonal decomposition techniques, investigate their approximation properties and analyze offline-online decomposition strategies aimed at the reduction of computational complexity. Furthermore, they carry out both a priori and a posteriori error analysis. The whole mathematical presentation is made more stimulating by the use of representative examples of applicative interest in the context of both linear and nonlinear PDEs. Moreover, the inclusion of many pseudocodes allows the reader to easily implement the algorithms illustrated throughout the text. The book will be ideal for upper undergraduate students and, more generally, people interested in scientific computing
UR  - https://doi.org/10.1007/978-3-319-15431-2
ER  -