Control of an elliptic problem with pointwise state constraints
SIAM Journal on Control and Optimization
Asymptotic mesh independence of Newton-Galerkin methods via a refined Mysovskii theorem
SIAM Journal on Numerical Analysis
SIAM Journal on Control and Optimization
Inexact SQP Interior Point Methods and Large Scale Optimal Control Problems
SIAM Journal on Control and Optimization
SIAM Journal on Control and Optimization
A mathematical view of interior-point methods in convex optimization
A mathematical view of interior-point methods in convex optimization
Optimal Control Problems with Mixed Control-State Constraints
SIAM Journal on Control and Optimization
Asymptotic Mesh Independence of Newton's Method Revisited
SIAM Journal on Numerical Analysis
Optimal Control of PDEs with Regularized Pointwise State Constraints
Computational Optimization and Applications
Computational Optimization and Applications
Computational Optimization and Applications
Computational Optimization and Applications
Finite Element Approximations of an Optimal Control Problem with Integral State Constraint
SIAM Journal on Numerical Analysis
SIAM Journal on Optimization
Optimal Control for an Elliptic System with Polygonal State Constraints
SIAM Journal on Control and Optimization
SIAM Journal on Control and Optimization
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The paper addresses a primal interior point method for state-constrained PDE optimal control problems in function space. By a Lavrentiev regularization, the state constraint is transformed to a mixed control-state constraint with bounded Lagrange multiplier. Existence and convergence of the central path are established, and linear convergence of a short-step pathfollowing method is shown. The behaviour of the method is demonstrated by numerical examples.