1 citations · 2 across the 2 of their papers we have counts for
2 papers
math.OC2024★ 1 cited
Improving the Robustness of the Projected Gradient Descent Method for Nonlinear Constrained Optimization Problems in Topology Optimization
Lucka Barbeau, Marc-Étienne Lamarche-Gagnon, Florin Ilinca
The Projected Gradient Descent (PGD) algorithm is a widely used and efficient first-order method for solving constrained optimization problems due to its simplicity and scalability…
physics.flu-dyn2024★ 1 cited
Robust pore-resolved CFD through porous monoliths reconstructed by micro-computed tomography: From digitization to flow prediction
Olivier Guévremont, Lucka Barbeau, Vaiana Moreau +3
Porous media are ubiquitous in energy storage and conversion, catalysis, biomechanics, hydrogeology, as well as many other fields. These materials possess high surface-to-volume ra…