A Lagrange–Newton–SQP method is analyzed for the optimal control of the Burgers equation. Distributed controls are given, which are restricted by pointwise lower and upper bounds. The convergence of the method is proved in appropriate Banach spaces. This proof is based on a weak second-order sufficient optimality condition and the theory of Newton methods for generalized equations in Banach spaces. For the numerical realization a primal-dual active set strategy is applied. Numerical examples are included
AbstractThe optimal control of unsteady Burgers equation without constraints and with control constr...
An approximate dynamic programming (ADP) based near optimal boundary control of distributed paramete...
Convergence results for two Lagrange-Newton-type methods of solving optimal control problems are pre...
A Lagrange–Newton–SQP method is analyzed for the optimal control of the Burgers equation. Distribute...
A Lagrange–Newton–SQP method is analyzed for the optimal control of the Burgers equation. Distribute...
summary:In this paper, we propose a novel algorithm for solving an optimal boundary control problem ...
summary:In this paper, we propose a novel algorithm for solving an optimal boundary control problem ...
summary:In this paper, we propose a novel algorithm for solving an optimal boundary control problem ...
A class of Lagrange-Newton-SQP methods is investigated for optimal control problems governed by semi...
A class of Lagrange-Newton-SQP methods is investigated for optimal control problems governed by semi...
This paper investigates the local convergence of the Lagrange-SQP-Newton method applied to an optima...
This paper investigates the local convergence of the Lagrange–SQP–Newton method applied to an optima...
Optimal control of PDEs has a crucial place in many parts of sciences and industry. Over the last de...
We apply an all-at-once method for the optimal control of the unsteady Burgers equation. The nonline...
We developed a novel direct optimization method to solve distributed optimal control of viscous Burg...
AbstractThe optimal control of unsteady Burgers equation without constraints and with control constr...
An approximate dynamic programming (ADP) based near optimal boundary control of distributed paramete...
Convergence results for two Lagrange-Newton-type methods of solving optimal control problems are pre...
A Lagrange–Newton–SQP method is analyzed for the optimal control of the Burgers equation. Distribute...
A Lagrange–Newton–SQP method is analyzed for the optimal control of the Burgers equation. Distribute...
summary:In this paper, we propose a novel algorithm for solving an optimal boundary control problem ...
summary:In this paper, we propose a novel algorithm for solving an optimal boundary control problem ...
summary:In this paper, we propose a novel algorithm for solving an optimal boundary control problem ...
A class of Lagrange-Newton-SQP methods is investigated for optimal control problems governed by semi...
A class of Lagrange-Newton-SQP methods is investigated for optimal control problems governed by semi...
This paper investigates the local convergence of the Lagrange-SQP-Newton method applied to an optima...
This paper investigates the local convergence of the Lagrange–SQP–Newton method applied to an optima...
Optimal control of PDEs has a crucial place in many parts of sciences and industry. Over the last de...
We apply an all-at-once method for the optimal control of the unsteady Burgers equation. The nonline...
We developed a novel direct optimization method to solve distributed optimal control of viscous Burg...
AbstractThe optimal control of unsteady Burgers equation without constraints and with control constr...
An approximate dynamic programming (ADP) based near optimal boundary control of distributed paramete...
Convergence results for two Lagrange-Newton-type methods of solving optimal control problems are pre...