2016 | OriginalPaper | Chapter
On the Algebraic and Geometric Structure of RB Methods
Authors : Alfio Quarteroni, Andrea Manzoni, Federico Negri
Published in: Reduced Basis Methods for Partial Differential Equations
Publisher: Springer International Publishing
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
RB methods are revisited from both an algebraic and a geometric standpoint. A number of relationships between the Galerkin RB approximation (as well as least-squares RB approximation) and the Galerkin high-fidelity approximation (3.11) are highlighted, for the purpose of illustrating, in a more fitting way and from a different perspective, the mathematical structure underpinning RB methods. The key role played by the transformation matrix in defining orthogonal and oblique projections is emphasized.