A non-intrusive bi-fidelity reduced basis method for time-independent problems
Scientific and engineering problems often involve parametric partial differential equations
(PDEs), such as uncertainty quantification, optimizations, and inverse problems. However …
(PDEs), such as uncertainty quantification, optimizations, and inverse problems. However …
Adaptive greedy algorithms based on parameter‐domain decomposition and reconstruction for the reduced basis method
The reduced basis method (RBM) empowers repeated and rapid evaluation of parametrized
partial differential equations through an offline–online decomposition, aka a learning …
partial differential equations through an offline–online decomposition, aka a learning …
Hybrid reduced-order methods for segregated fluid-structure interaction solvers in an ALE approach using the Finite Volume Method.
VEB NKANA NGAN - 2024 - iris.sissa.it
This dissertation intends to construct hybrid reduced-order models (ROMs) for segregated
Fluid-structure interactions solvers in an Arbitrary Lagrangian-Eulerian (ALE) framework …
Fluid-structure interactions solvers in an Arbitrary Lagrangian-Eulerian (ALE) framework …