Boundary control of semilinear elliptic equations with pointwise state constraints
SIAM Journal on Control and Optimization
Issues in the direct transcription of optimal control problems to sparse nonlinear programs
Computational optimal control
Augmented Lagrangian--SQP Methods for Nonlinear OptimalControl Problems of Tracking Type
SIAM Journal on Control and Optimization
Augemented Lagrangian Techniques for Elliptic State Constrained Optimal Control Problems
SIAM Journal on Control and Optimization
An Interior-Point Algorithm for Nonconvex Nonlinear Programming
Computational Optimization and Applications - Special issue on computational optimization—a tribute to Olvi Mangasarian, part II
Journal of Computational and Applied Mathematics - Special issue on SQP-based direct discretization methods for practical optimal control problems
SIAM Journal on Control and Optimization
Computational Optimization and Applications
Computational Optimization and Applications
Fast Iterative Solution of Saddle Point Problems in Optimal Control Based on Wavelets
Computational Optimization and Applications
Computational Optimization and Applications
Inner solvers for interior point methods for large scale nonlinear programming
Computational Optimization and Applications
Some iterative methods for the solution of a symmetric indefinite KKT system
Computational Optimization and Applications
Computational Optimization and Applications - Special issue: Numerical analysis of optimization in partial differential equations
A nonmonotone semismooth inexact Newton method
Optimization Methods & Software
Computational Optimization and Applications
Computational Optimization and Applications
Optimal Solvers for PDE-Constrained Optimization
SIAM Journal on Scientific Computing
An Interior-Point Algorithm for Large-Scale Nonlinear Optimization with Inexact Step Computations
SIAM Journal on Scientific Computing
A note on the approximation of elliptic control problems with bang-bang controls
Computational Optimization and Applications
SIAM Journal on Control and Optimization
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We study optimal control problems for semilinear elliptic equations subject to control and state inequality constraints. In a first part we consider boundary control problems with either Dirichlet or Neumann conditions. By introducing suitable discretization schemes, the control problem is transcribed into a nonlinear programming problem. It is shown that a recently developed interior point method is able to solve these problems even for high discretizations. Several numerical examples with Dirichlet and Neumann boundary conditions are provided that illustrate the performance of the algorithm for different types of controls including bang-bang and singular controls. The necessary conditions of optimality are checked numerically in the presence of active control and state constraints.