SIAM Journal on Control and Optimization
SIAM Journal on Control and Optimization
Second-order sufficient conditions for control problems with mixed control-state constraints
Journal of Optimization Theory and Applications
Augmented Lagrangian--SQP Methods for Nonlinear OptimalControl Problems of Tracking Type
SIAM Journal on Control and Optimization
Sufficient Optimality Conditions for Optimal Control Subject to State Constraints
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
Computational Optimization and Applications
Computational Optimization and Applications
Journal of Computational and Applied Mathematics - Special issue on SQP-based direct discretization methods for practical optimal control problems
Solving elliptic control problems with interior point and SQP methods: control and state constraints
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
Distributed Control Problems for the Burgers Equation
Computational Optimization and Applications
Computational Optimization and Applications
Newton's Method for a Class of Weakly Singular Optimal Control Problems
SIAM Journal on Optimization
On an Augmented Lagrangian SQP Method for a Class of Optimal Control Problems in Banach Spaces
Computational Optimization and Applications
Inner solvers for interior point methods for large scale nonlinear programming
Computational Optimization and Applications
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We study optimal control problems for semilinear parabolic equations subject to control constraints and for semilinear elliptic equations subject to control and state constraints. We quote known second-order sufficient optimality conditions (SSC) from the literature. Both problem classes, the parabolic one with boundary control and the elliptic one with boundary or distributed control, are discretized by a finite difference method. The discrete SSC are stated and numerically verified in all cases providing an indication of optimality where only necessary conditions had been studied before.