9783110542639 - hamilton-jacobi-bellman equations: numerical methods and applications in optimal control: 21 (20 risultati)
Hamilton-jacobi-bellman Equations : Numerical Methods and Applications in Optimal Control
Kalise, Dante (EDT); Kunisch, Karl (EDT); Rao, Zhiping (EDT); Blechschmidt, Jan (CON)
Lingua: Inglese
Editore: De Gruyter 2018
Serie: Radon Series on Computational and Applied Mathematics, Libro 20 di 28. Libro 20 di 28 - Radon Series on Computational and Applied Mathematics
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Hamilton-jacobi-bellman Equations : Numerical Methods and Applications in Optimal Control
Kalise, Dante (EDT); Kunisch, Karl (EDT); Rao, Zhiping (EDT); Blechschmidt, Jan (CON)
Lingua: Inglese
Editore: De Gruyter 2018
Serie: Radon Series on Computational and Applied Mathematics, Libro 20 di 28. Libro 20 di 28 - Radon Series on Computational and Applied Mathematics
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Hamilton-jacobi-bellman Equations : Numerical Methods and Applications in Optimal Control
Kalise, Dante (EDT); Kunisch, Karl (EDT); Rao, Zhiping (EDT); Blechschmidt, Jan (CON)
Lingua: Inglese
Editore: De Gruyter 2018
Serie: Radon Series on Computational and Applied Mathematics, Libro 20 di 28. Libro 20 di 28 - Radon Series on Computational and Applied Mathematics
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Hamilton-jacobi-bellman Equations : Numerical Methods and Applications in Optimal Control
Kalise, Dante (EDT); Kunisch, Karl (EDT); Rao, Zhiping (EDT); Blechschmidt, Jan (CON)
Lingua: Inglese
Editore: De Gruyter 2018
Serie: Radon Series on Computational and Applied Mathematics, Libro 20 di 28. Libro 20 di 28 - Radon Series on Computational and Applied Mathematics
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Hardback. Condizione: New. Optimal feedback control arises in different areas such as aerospace engineering, chemical processing, resource economics, etc. In this context, the application of dynamic programming techniques leads to the solution of fully nonlinear Hamilton-Jacobi-Bellman equations. This book presents the state of…the art in the numerical approximation of Hamilton-Jacobi-Bellman equations, including post-processing of Galerkin methods, high-order methods, boundary treatment in semi-Lagrangian schemes, reduced basis methods, comparison principles for viscosity solutions, max-plus methods, and the numerical approximation of Monge-Ampère equations. This book also features applications in the simulation of adaptive controllers and the control of nonlinear delay differential equations. Contents From a monotone probabilistic scheme to a probabilistic max-plus algorithm for solving Hamilton-Jacobi-Bellman equations Improving policies for Hamilton-Jacobi-Bellman equations by postprocessing Viability approach to simulation of an adaptive controller Galerkin approximations for the optimal control of nonlinear delay differential equations Efficient higher order time discretization schemes for Hamilton-Jacobi-Bellman equations based on diagonally implicit symplectic Runge-Kutta methods Numerical solution of the simple Monge-Ampere equation with nonconvex Dirichlet data on nonconvex domains On the notion of boundary conditions in comparison principles for viscosity solutions Boundary mesh refinement for semi-Lagrangian schemes A reduced basis method for the Hamilton-Jacobi-Bellman equation within the European Union Emission Trading Scheme.
Lingua: Inglese
Editore: De Gruyter 2018
Serie: Radon Series on Computational and Applied Mathematics, Libro 20 di 28. Libro 20 di 28 - Radon Series on Computational and Applied Mathematics
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Optimal feedback control arises in different areas such as aerospace engineering, chemical processing, resource economics, etc. In this context, the application of dynamic programming techniques leads to the solution of fully nonlinear Hamilton-Jacobi-Be…llman equations. This book presents the state of the art in the numerical approximation of Hamilton-Jacobi-Bellman equations, including post-processing of Galerkin methods, high-order methods, boundary treatment in semi-Lagrangian schemes, reduced basis methods, comparison principles for viscosity solutions, max-plus methods, and the numerical approximation of Monge-Ampère equations. This book also features applications in the simulation of adaptive controllers and the control of nonlinear delay differential equations. Contents From a monotone probabilistic scheme to a probabilistic max-plus algorithm for solving Hamilton-Jacobi-Bellman equations Improving policies for Hamilton-Jacobi-Bellman equations by postprocessing Viability approach to simulation of an adaptive controller Galerkin approximations for the optimal control of nonlinear delay differential equations Efficient higher order time discretization schemes for Hamilton-Jacobi-Bellman equations based on diagonally implicit symplectic Runge-Kutta methods Numerical solution of the simple Monge-Ampere equation with nonconvex Dirichlet data on nonconvex domains On the notion of boundary conditions in comparison principles for viscosity solutions Boundary mesh refinement for semi-Lagrangian schemes A reduced basis method for the Hamilton-Jacobi-Bellman equation within the European Union Emission Trading Scheme.
Lingua: Inglese
Editore: De Gruyter 2018
Serie: Radon Series on Computational and Applied Mathematics, Libro 20 di 28. Libro 20 di 28 - Radon Series on Computational and Applied Mathematics
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Hardcover. Condizione: Brand New. 362 pages. 9.44x6.29x0.63 inches. In Stock.
Lingua: Inglese
Editore: De Gruyter 2018
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Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Optimal feedback control arises in different areas such as aerospace engineering, chemical processing, resource economics, etc. In this context, the application of dynamic programming techniques leads to the solution of fully nonlinear Hamilton-Ja…cobi-Bellman equations. This book presents the state of the art in the numerical approximation of Hamilton-Jacobi-Bellman equations, including post-processing of Galerkin methods, high-order methods, boundary treatment in semi-Lagrangian schemes, reduced basis methods, comparison principles for viscosity solutions, max-plus methods, and the numerical approximation of Monge-Ampère equations. This book also features applications in the simulation of adaptive controllers and the control of nonlinear delay differential equations. Contents From a monotone probabilistic scheme to a probabilistic max-plus algorithm for solving Hamilton¿Jacobi¿Bellman equations Improving policies for Hamilton¿Jacobi¿Bellman equations by postprocessing Viability approach to simulation of an adaptive controller Galerkin approximations for the optimal control of nonlinear delay differential equations Efficient higher order time discretization schemes for Hamilton¿Jacobi¿Bellman equations based on diagonally implicit symplectic Runge¿Kutta methods Numerical solution of the simple Monge¿Ampere equation with nonconvex Dirichlet data on nonconvex domains On the notion of boundary conditions in comparison principles for viscosity solutions Boundary mesh refinement for semi-Lagrangian schemes A reduced basis method for the Hamilton¿Jacobi¿Bellman equation within the European Union Emission Trading Scheme.
Lingua: Inglese
Editore: De Gruyter, DE 2018
Serie: Radon Series on Computational and Applied Mathematics, Libro 20 di 28. Libro 20 di 28 - Radon Series on Computational and Applied Mathematics
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Hardback. Condizione: New. Optimal feedback control arises in different areas such as aerospace engineering, chemical processing, resource economics, etc. In this context, the application of dynamic programming techniques leads to the solution of fully nonlinear Hamilton-Jacobi-Bellman equations. This book presents the state of…the art in the numerical approximation of Hamilton-Jacobi-Bellman equations, including post-processing of Galerkin methods, high-order methods, boundary treatment in semi-Lagrangian schemes, reduced basis methods, comparison principles for viscosity solutions, max-plus methods, and the numerical approximation of Monge-Ampère equations. This book also features applications in the simulation of adaptive controllers and the control of nonlinear delay differential equations. Contents From a monotone probabilistic scheme to a probabilistic max-plus algorithm for solving Hamilton-Jacobi-Bellman equations Improving policies for Hamilton-Jacobi-Bellman equations by postprocessing Viability approach to simulation of an adaptive controller Galerkin approximations for the optimal control of nonlinear delay differential equations Efficient higher order time discretization schemes for Hamilton-Jacobi-Bellman equations based on diagonally implicit symplectic Runge-Kutta methods Numerical solution of the simple Monge-Ampere equation with nonconvex Dirichlet data on nonconvex domains On the notion of boundary conditions in comparison principles for viscosity solutions Boundary mesh refinement for semi-Lagrangian schemes A reduced basis method for the Hamilton-Jacobi-Bellman equation within the European Union Emission Trading Scheme.
Lingua: Inglese
Editore: De Gruyter 2018
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Condizione: New. 2018. Hardcover. . . . . .
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Hamilton-Jacobi-Bellman Equations
Dante Kalise|Karl Kunisch|Zhiping Rao|Marianne Akian|Jan Blechschmidt
Lingua: Inglese
Editore: De Gruyter 2018
Serie: Radon Series on Computational and Applied Mathematics, Libro 20 di 28. Libro 20 di 28 - Radon Series on Computational and Applied Mathematics
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Da: moluna, Greven, , Germaniamoluna
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Hardcover. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dante Kalise and Zhiping Rao, Radon Institute, Austria Karl Kunisch, University of Graz and Radon Institute, Austria. Optimal feedback control arises in different areas such as aerospace engi.
Lingua: Inglese
Editore: De Gruyter, De Gruyter Aug 2018 2018
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Optimal feedback control arises in different areas such as aerospace engineering, chemical processing, resource economics, etc. In this context, the application of dynamic programming techniques leads to the solution of fully nonlinear Ha…milton-Jacobi-Bellman equations. This book presents the state of the art in the numerical approximation of Hamilton-Jacobi-Bellman equations, including post-processing of Galerkin methods, high-order methods, boundary treatment in semi-Lagrangian schemes, reduced basis methods, comparison principles for viscosity solutions, max-plus methods, and the numerical approximation of Monge-Ampère equations. This book also features applications in the simulation of adaptive controllers and the control of nonlinear delay differential equations. Contents From a monotone probabilistic scheme to a probabilistic max-plus algorithm for solving Hamilton-Jacobi-Bellman equations Improving policies for Hamilton-Jacobi-Bellman equations by postprocessing Viability approach to simulation of an adaptive controller Galerkin approximations for the optimal control of nonlinear delay differential equations Efficient higher order time discretization schemes for Hamilton-Jacobi-Bellman equations based on diagonally implicit symplectic Runge-Kutta methods Numerical solution of the simple Monge-Ampere equation with nonconvex Dirichlet data on nonconvex domains On the notion of boundary conditions in comparison principles for viscosity solutions Boundary mesh refinement for semi-Lagrangian schemes A reduced basis method for the Hamilton-Jacobi-Bellman equation within the European Union Emission Trading Scheme 210 pp. Englisch.
Lingua: Inglese
Editore: De Gruyter, De Gruyter Aug 2018 2018
Serie: Radon Series on Computational and Applied Mathematics, Libro 20 di 28. Libro 20 di 28 - Radon Series on Computational and Applied Mathematics
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Optimal feedback control arises in different areas such as aerospace engineering, chemical processing, resource economics, etc. In this context, the application of dynamic programming techniques leads to the solution of fully nonlinear Hamilt…on-Jacobi-Bellman equations. This book presents the state of the art in the numerical approximation of Hamilton-Jacobi-Bellman equations, including post-processing of Galerkin methods, high-order methods, boundary treatment in semi-Lagrangian schemes, reduced basis methods, comparison principles for viscosity solutions, max-plus methods, and the numerical approximation of Monge-Ampère equations. This book also features applications in the simulation of adaptive controllers and the control of nonlinear delay differential equations.ContentsFrom a monotone probabilistic scheme to a probabilistic max-plus algorithm for solving Hamilton¿Jacobi¿Bellman equationsImproving policies for Hamilton¿Jacobi¿Bellman equations by postprocessingViability approach to simulation of an adaptive controllerGalerkin approximations for the optimal control of nonlinear delay differential equationsEfficient higher order time discretization schemes for Hamilton¿Jacobi¿Bellman equations based on diagonally implicit symplectic Runge¿Kutta methodsNumerical solution of the simple Monge¿Ampere equation with nonconvex Dirichlet data on nonconvex domainsOn the notion of boundary conditions in comparison principles for viscosity solutionsBoundary mesh refinement for semi-Lagrangian schemesA reduced basis method for the Hamilton¿Jacobi¿Bellman equation within the European Union Emission Trading SchemeDe Gruyter Mouton, Genthiner Straße 13, 10785 Berlin 210 pp. Englisch.
