A robust matrix-free trust-region SQP method for large-scale optimization
Abstract not provided.
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Jump to search filtersOptimization-based constrained modeling : a new transport paradigm
Abstract not provided.
Finite element solution of optimal control problems arising in semiconductor modeling
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Optimal design, parameter estimation, and inverse problems arising in the modeling of semiconductor devices lead to optimization problems constrained by systems of PDEs. We study the impact of different state equation discretizations on optimization problems whose objective functionals involve flux terms. Galerkin methods, in which the flux is a derived quantity, are compared with mixed Galerkin discretizations where the flux is approximated directly. Our results show that the latter approach leads to more robust and accurate solutions of the optimization problem, especially for highly heterogeneous materials with large jumps in material properties. © 2008 Springer.
Scalable Solution Methods via Optimal Control Reformulations
Abstract not provided.
Rehabilitation of quadrilateral Raviart-Thomas elements
Abstract not provided.
Intrepid
Abstract not provided.
An Inexact Trust-Region SQP Method with Applications to PDE-Constrained Optimization
Abstract not provided.
Rehabilitation of the lowest-order Raviart-Thomas element on quadrilateral grids
SIAM J. Numerical Analysis
Abstract not provided.
Analysis and Control of Numerical Uncertainty in PDE-Constrained Optimization
Abstract not provided.
A Comparative Study of Galerkin and Mixed Galerkin Methods in Optimal Control Problems with Applications to Semiconductor Modeling
Abstract not provided.
Use of iterative linear solvers in a Lagrange-Newton SQP algorithm for large-scale nonlinear optimization
Abstract not provided.
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