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An Applet for Optimal Control Problems
"... Abstract: An Optimal Control Applet (OCA) is presented. This OCA is an Applet designed to study optimal control problems in an interactive manner. The graphical user interface (GUI) facilities the interaction with the user in several ways. First, the user is able to specify the key ingredients of a ..."
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Abstract: An Optimal Control Applet (OCA) is presented. This OCA is an Applet designed to study optimal control problems in an interactive manner. The graphical user interface (GUI) facilities the interaction with the user in several ways. First, the user is able to specify the key ingredients
PARABOLIC OPTIMAL CONTROL PROBLEMS
"... Abstract. In this paper, we describe block matrix algorithms for the iterative solution of large scale linearquadratic optimal control problems arising from the optimal control of parabolic partial differential equations over a finite control horizon. We describe three iterative algorithms. The fir ..."
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Abstract. In this paper, we describe block matrix algorithms for the iterative solution of large scale linearquadratic optimal control problems arising from the optimal control of parabolic partial differential equations over a finite control horizon. We describe three iterative algorithms
PENALIZATION OF DIRICHLET OPTIMAL CONTROL PROBLEMS ∗
"... Abstract. We apply Robin penalization to Dirichlet optimal control problems governed by semilinear elliptic equations. Error estimates in terms of the penalization parameter are stated. Error estimates for the numerical approximation of both Dirichlet and Robin optimal control problems are provided ..."
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Cited by 6 (2 self)
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Abstract. We apply Robin penalization to Dirichlet optimal control problems governed by semilinear elliptic equations. Error estimates in terms of the penalization parameter are stated. Error estimates for the numerical approximation of both Dirichlet and Robin optimal control problems are provided
Automatic Differentiation for Optimal Control Problems
, 1998
"... Automatic differentiation is used for the solution of optimal control problems. Original problem is reduced to a nonlinear programming problem using general RungeKutta integration formulas. Canonical formulas which use a fast automatic differentiation strategy are given to compute derivatives of go ..."
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Automatic differentiation is used for the solution of optimal control problems. Original problem is reduced to a nonlinear programming problem using general RungeKutta integration formulas. Canonical formulas which use a fast automatic differentiation strategy are given to compute derivatives
Automatic Differentiation for Optimal Control Problems
, 1998
"... Abstract Automatic differentiation is used for the solution of optimal control problems.Original problem is reduced to a nonlinear programming problem using general RungeKutta integration formulas. Canonical formulas which use a fast automatic differentiation strategy are given to compute derivativ ..."
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Abstract Automatic differentiation is used for the solution of optimal control problems.Original problem is reduced to a nonlinear programming problem using general RungeKutta integration formulas. Canonical formulas which use a fast automatic differentiation strategy are given to compute
VISCOSITY SOLUTIONS AND OPTIMAL CONTROL PROBLEMS
"... A control problem may be described as a process to influence the behavior of a dynamical system, in order to achieve a desired result. If the goal is to minimize a cost function then we speak of an optimal control problem. More generally, in the method of dynamical programming we use the ..."
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A control problem may be described as a process to influence the behavior of a dynamical system, in order to achieve a desired result. If the goal is to minimize a cost function then we speak of an optimal control problem. More generally, in the method of dynamical programming we use the
PARABOLIC OPTIMAL CONTROL PROBLEM
, 1997
"... A Mixed Variational Formulation for 3D Magnetostatics and its Finite Element February 1996 ..."
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A Mixed Variational Formulation for 3D Magnetostatics and its Finite Element February 1996
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