The goal of these lecture notes is to provide an informal introduction to the use of variational techniques for solving constrained optimization problems with equality constraints and full state information. The use of the Lagrangian augmented cost function and variational techniques by which the adjoint equation and the optimality condition are found are introduced by the use of examples starting from steady finite-dimensional problems to end with unsteady initial-boundary value problems. Gradient methods based on sensitivity and adjoint equation solutions are also mentioned
. In this paper, a method based on the optimal control theory for the solution of shape optimization...
Optimal control regards the optimization of dynamic systems. Thus, it bridges two large and active r...
Calculus of variations minimized under linearized differential constraint for hybrid gradient metho
Optimal control regards the optimization of dynamic systems. Thus, it bridges two large and active r...
International audienceWe give an overview of the shooting technique for solving deterministic optima...
AbstractThis paper gives a brief historical survey of the development of the theory of the calculus ...
Traditional forms of optimization have been used over the years in making the most effective use of ...
a b s t r a c t This study considers numerical methods for computation of optimal boundary and initi...
The volume presents recent mathematical methods in the area of optimal control with a particular emp...
This thesis deals with the optimal control of PDEs. After a brief introduction in the theory of elli...
The possibility to compute first- and second-derivatives of functionals subject to equality constrai...
This thesis is focused on state-of-art numerical optimization methods for nonlinear (discrete-time) ...
The article of record as published may be found at https://doi.org/10.1016/j.cam.2018.12.044The Karu...
Sequential gradient-restoration algorithm for minimizing functional subject to differential constrai...
The optimal control literature is dominated by standard problems in which the system cost functional...
. In this paper, a method based on the optimal control theory for the solution of shape optimization...
Optimal control regards the optimization of dynamic systems. Thus, it bridges two large and active r...
Calculus of variations minimized under linearized differential constraint for hybrid gradient metho
Optimal control regards the optimization of dynamic systems. Thus, it bridges two large and active r...
International audienceWe give an overview of the shooting technique for solving deterministic optima...
AbstractThis paper gives a brief historical survey of the development of the theory of the calculus ...
Traditional forms of optimization have been used over the years in making the most effective use of ...
a b s t r a c t This study considers numerical methods for computation of optimal boundary and initi...
The volume presents recent mathematical methods in the area of optimal control with a particular emp...
This thesis deals with the optimal control of PDEs. After a brief introduction in the theory of elli...
The possibility to compute first- and second-derivatives of functionals subject to equality constrai...
This thesis is focused on state-of-art numerical optimization methods for nonlinear (discrete-time) ...
The article of record as published may be found at https://doi.org/10.1016/j.cam.2018.12.044The Karu...
Sequential gradient-restoration algorithm for minimizing functional subject to differential constrai...
The optimal control literature is dominated by standard problems in which the system cost functional...
. In this paper, a method based on the optimal control theory for the solution of shape optimization...
Optimal control regards the optimization of dynamic systems. Thus, it bridges two large and active r...
Calculus of variations minimized under linearized differential constraint for hybrid gradient metho