2 papers
math.OC2024
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-dyn2017
Two-component instantaneous wall shear rate measurements in reversing flows
M. -É. Lamarche-Gagnon, V. Sobolík, J. Vétel
Validation experiments of the two-dimensional inverse algorithm are performed in a pulsed Poiseuille flow exposing shear reversal phases. The method is applied to the three-segment…