2 papers
math.NA2025
An Adaptive CUR Algorithm and its Application to Reduced-Order Modeling of Random PDEs
Grishma Palkar, Hessam Babaee
Certain classes of CUR algorithms, also referred to as cross or pseudoskeleton algorithms, are widely used for low-rank matrix approximation when direct access to all matrix entrie…
math.NA2023
Oblique projection for scalable rank-adaptive reduced-order modeling of nonlinear stochastic PDEs with time-dependent bases
M. Donello, G. Palkar, M. H. Naderi +2
Time-dependent basis reduced order models (TDB ROMs) have successfully been used for approximating the solution to nonlinear stochastic partial differential equations (PDEs). For m…