1 citations · 1 across the 2 of their papers we have counts for
2 papers
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…
math.OC2020★ 1 cited
Computing Sensitivities in Evolutionary Systems: A Real-Time Reduced Order Modeling Strategy
Michael Donello, Mark Carpenter, Hessam Babaee
We present a new methodology for computing sensitivities in evolutionary systems using a model-driven low-rank approximation. To this end, we formulate a variational principle that…