2 citations · 3 across the 2 of their papers we have counts for
2 papers
math.NA2023★ 2 cited
Reversible random number generation for adjoint Monte Carlo simulation of the heat equation
Emil Løvbak, Frédéric Blondeel, Adam Lee +3
In PDE-constrained optimization, one aims to find design parameters that minimize some objective, subject to the satisfaction of a partial differential equation. A major challenges…
math.NA2020★ 1 cited
MG/OPT and MLMC for Robust Optimization of PDEs
Andreas Van Barel, Stefan Vandewalle
An algorithm is proposed to solve robust control problems constrained by partial differential equations with uncertain coefficients, based on the so-called MG/OPT framework. The le…