activity
20122026
most citedMassively parallel solvers for elliptic PDEs in Numerical Weather- and Climate Prediction

79 citations · 258 across the 61 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

math.NA2025

Robust spectral preconditioning for high-Péclet number convection-diffusion

Lukas Holbach, Peter Bastian, Robert Scheichl

We introduce a two-level hybrid restricted additive Schwarz (RAS) preconditioner for heterogeneous steady-state convection-diffusion equations at high Péclet numbers. Our construct…

math.NA2025

Optimal Spectral Approximation in the Overlaps for Generalized Finite Element Methods

Christian Alber, Peter Bastian, Moritz Hauck +1

In this paper, we study a generalized finite element method for solving second-order elliptic partial differential equations with rough coefficients. The method uses local approxim…

math.NA2025

A Budgeted Multi-Level Monte Carlo Method for Full Field Estimates of Multi-PDE Problems

Niklas Baumgarten, Robert Kutri, Robert Scheichl

We present a high-performance budgeted multi-level Monte Carlo method for estimates on the entire spatial domain of multi-PDE problems with random input data. The method is designe…

math.AP2025

Statistical parameter identification of mixed-mode patterns from a single experimental snapshot

Alexey Kazarnikov, Robert Scheichl, Irving R. Epstein +2

Parameter identification in pattern formation models from a single experimental snapshot is challenging, as traditional methods often require knowledge of initial conditions or tra…

math.NA2025

Exploiting Inexact Computations in Multilevel Monte Carlo and Other Sampling Methods

Josef Martínek, Erin Carson, Robert Scheichl

Multilevel sampling methods, such as multilevel and multifidelity Monte Carlo, multilevel stochastic collocation, or delayed acceptance Markov chain Monte Carlo, have become standa…

math.OC2025

Subspace accelerated measure transport methods for fast and scalable sequential experimental design, with application to photoacoustic imaging

Tiangang Cui, Karina Koval, Roland Herzog +1

We propose a novel approach for sequential optimal experimental design (sOED) for Bayesian inverse problems involving expensive models with high-dimensional unknown parameters. Thi…