Robuta

https://www.sandia.gov/research/publications/details/an-augmented-lagrangian-approach-for-risk-averse-pde-constrained-optimizati-2022-04-01/ An Augmented Lagrangian Approach for Risk-Averse PDE-Constrained Optimization with State... pde constrained optimization risk averse https://openreview.net/forum?id=zd2chYqgUj Generative Neural Reparameterization for Differentiable PDE-Constrained Optimization | OpenReview Partial-differential-equation (PDE)-constrained optimization is a well-worn technique for acquiring optimal parameters of systems governed by PDEs. However,... pde constrained optimization generative neural reparameterization differentiable https://optpde.math.uni-hamburg.de/ OPTPDE - A Collection of Problems in PDE-Constrained Optimization a collection of problems pde constrained optimization