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Approximation of Stochastic Invariant Manifolds : Stochastic Manifolds for Nonlinear SPDEs I
Libro 52 di 155: SpringerBriefs in MathematicsDa: GreatBookPrices, Columbia, MD, U.S.A.
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Stochastic Parameterizing Manifolds and Non-Markovian Reduced Equations : Stochastic Manifolds for Nonlinear SPDEs II
Libro 53 di 155: SpringerBriefs in MathematicsDa: GreatBookPrices, Columbia, MD, U.S.A.
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Stochastic Parameterizing Manifolds and Non-Markovian Reduced Equations: Stochastic Manifolds for Nonlinear SPDEs II (SpringerBriefs in Mathematics)
Libro 53 di 155: SpringerBriefs in MathematicsDa: Lucky's Textbooks, Dallas, TX, U.S.A.
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Approximation of Stochastic Invariant Manifolds: Stochastic Manifolds for Nonlinear SPDEs I (SpringerBriefs in Mathematics)
Libro 52 di 155: SpringerBriefs in MathematicsDa: Lucky's Textbooks, Dallas, TX, U.S.A.
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Stochastic Parameterizing Manifolds and Non-Markovian Reduced Equations (Paperback)
Libro 53 di 155: SpringerBriefs in MathematicsLingua: Inglese
Editore: Springer International Publishing AG, Cham, 2015
ISBN 10: 3319125192 ISBN 13: 9783319125190
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Paperback. Condizione: new. Paperback. In this second volume, a general approach is developed to provide approximate parameterizations of the "small" scales by the "large" ones for a broad class of stochastic partial differential equations (SPDEs). This is accomplished via the concept of parameterizing manifolds (PMs), which are stochastic manifolds that improve, for a given realization of the noise, in mean square error the partial knowledge of the full SPDE solution when compared to its projection onto some resolved modes. Backward-forward systems are designed to give access to such PMs in practice. The key idea consists of representing the modes with high wave numbers as a pullback limit depending on the time-history of the modes with low wave numbers. Non-Markovian stochastic reduced systems are then derived based on such a PM approach. The reduced systems take the form of stochastic differential equations involving random coefficients that convey memory effects. The theory is illustrated on a stochastic Burgers-type equation. In this second volume, a general approach is developed to provide approximate parameterizations of the "small" scales by the "large" ones for a broad class of stochastic partial differential equations (SPDEs). Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Stochastic Parameterizing Manifolds and Non-Markovian Reduced Equations : Stochastic Manifolds for Nonlinear SPDEs II
Libro 53 di 155: SpringerBriefs in MathematicsDa: GreatBookPrices, Columbia, MD, U.S.A.
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Approximation of Stochastic Invariant Manifolds : Stochastic Manifolds for Nonlinear SPDEs I
Libro 52 di 155: SpringerBriefs in MathematicsDa: GreatBookPrices, Columbia, MD, U.S.A.
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Approximation of Stochastic Invariant Manifolds (Paperback)
Libro 52 di 155: SpringerBriefs in MathematicsLingua: Inglese
Editore: Springer International Publishing AG, Cham, 2015
ISBN 10: 3319124951 ISBN 13: 9783319124957
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Paperback. Condizione: new. Paperback. This first volume is concerned with the analytic derivation of explicit formulas for the leading-order Taylor approximations of (local) stochastic invariant manifolds associated with a broad class of nonlinear stochastic partial differential equations. These approximations take the form of Lyapunov-Perron integrals, which are further characterized in Volume II as pullback limits associated with some partially coupled backward-forward systems. This pullback characterization provides a useful interpretation of the corresponding approximating manifolds and leads to a simple framework that unifies some other approximation approaches in the literature. A self-contained survey is also included on the existence and attraction of one-parameter families of stochastic invariant manifolds, from the point of view of the theory of random dynamical systems. This first volume is concerned with the analytic derivation of explicit formulas for the leading-order Taylor approximations of (local) stochastic invariant manifolds associated with a broad class of nonlinear stochastic partial differential equations. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Approximation of Stochastic Invariant Manifolds: Stochastic Manifolds for Nonlinear SPDEs I (SpringerBriefs in Mathematics)
Libro 52 di 155: SpringerBriefs in MathematicsDa: Ria Christie Collections, Uxbridge, Regno Unito
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Stochastic Parameterizing Manifolds and Non-Markovian Reduced Equations: Stochastic Manifolds for Nonlinear SPDEs II (SpringerBriefs in Mathematics)
Libro 53 di 155: SpringerBriefs in MathematicsDa: Ria Christie Collections, Uxbridge, Regno Unito
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Stochastic Parameterizing Manifolds and Non-Markovian Reduced Equations: Stochastic Manifolds for Nonlinear SPDEs II (SpringerBriefs in Mathematics)
Libro 53 di 155: SpringerBriefs in MathematicsDa: Chiron Media, Wallingford, Regno Unito
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EUR 56,38
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Aggiungi al carrelloPaperback. Condizione: New.
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Stochastic Parameterizing Manifolds and Non-Markovian Reduced Equations : Stochastic Manifolds for Nonlinear SPDEs II
Libro 53 di 155: SpringerBriefs in MathematicsDa: GreatBookPricesUK, Woodford Green, Regno Unito
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Approximation of Stochastic Invariant Manifolds: Stochastic Manifolds for Nonlinear SPDEs I (SpringerBriefs in Mathematics)
Libro 52 di 155: SpringerBriefs in MathematicsDa: Books Puddle, New York, NY, U.S.A.
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Condizione: New. 127.
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Stochastic Parameterizing Manifolds and Non-Markovian Reduced Equations: Stochastic Manifolds for Nonlinear SPDEs II (SpringerBriefs in Mathematics)
Libro 53 di 155: SpringerBriefs in MathematicsDa: Books Puddle, New York, NY, U.S.A.
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Condizione: New. 148.
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Stochastic Parameterizing Manifolds and Non-Markovian Reduced Equations : Stochastic Manifolds for Nonlinear SPDEs II
Libro 53 di 155: SpringerBriefs in MathematicsDa: GreatBookPricesUK, Woodford Green, Regno Unito
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Stochastic Parameterizing Manifolds and Non-Markovian Reduced Equations: Stochastic Manifolds for Nonlinear SPDEs II
Libro 53 di 155: SpringerBriefs in MathematicsDa: Revaluation Books, Exeter, Regno Unito
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EUR 74,31
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Aggiungi al carrelloPaperback. Condizione: Brand New. 2015 edition. 129 pages. 8.75x6.00x0.25 inches. In Stock.
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Stochastic Parameterizing Manifolds and Non-Markovian Reduced Equations (Paperback)
Libro 53 di 155: SpringerBriefs in MathematicsLingua: Inglese
Editore: Springer International Publishing AG, Cham, 2015
ISBN 10: 3319125192 ISBN 13: 9783319125190
Da: AussieBookSeller, Truganina, VIC, Australia
Valutazione del venditore 5 su 5 stelle
EUR 111,21
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. In this second volume, a general approach is developed to provide approximate parameterizations of the "small" scales by the "large" ones for a broad class of stochastic partial differential equations (SPDEs). This is accomplished via the concept of parameterizing manifolds (PMs), which are stochastic manifolds that improve, for a given realization of the noise, in mean square error the partial knowledge of the full SPDE solution when compared to its projection onto some resolved modes. Backward-forward systems are designed to give access to such PMs in practice. The key idea consists of representing the modes with high wave numbers as a pullback limit depending on the time-history of the modes with low wave numbers. Non-Markovian stochastic reduced systems are then derived based on such a PM approach. The reduced systems take the form of stochastic differential equations involving random coefficients that convey memory effects. The theory is illustrated on a stochastic Burgers-type equation. In this second volume, a general approach is developed to provide approximate parameterizations of the "small" scales by the "large" ones for a broad class of stochastic partial differential equations (SPDEs). Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Approximation of Stochastic Invariant Manifolds (Paperback)
Libro 52 di 155: SpringerBriefs in MathematicsLingua: Inglese
Editore: Springer International Publishing AG, Cham, 2015
ISBN 10: 3319124951 ISBN 13: 9783319124957
Da: AussieBookSeller, Truganina, VIC, Australia
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EUR 156,42
Spedizione EUR 31,21
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. This first volume is concerned with the analytic derivation of explicit formulas for the leading-order Taylor approximations of (local) stochastic invariant manifolds associated with a broad class of nonlinear stochastic partial differential equations. These approximations take the form of Lyapunov-Perron integrals, which are further characterized in Volume II as pullback limits associated with some partially coupled backward-forward systems. This pullback characterization provides a useful interpretation of the corresponding approximating manifolds and leads to a simple framework that unifies some other approximation approaches in the literature. A self-contained survey is also included on the existence and attraction of one-parameter families of stochastic invariant manifolds, from the point of view of the theory of random dynamical systems. This first volume is concerned with the analytic derivation of explicit formulas for the leading-order Taylor approximations of (local) stochastic invariant manifolds associated with a broad class of nonlinear stochastic partial differential equations. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Hamilton-Jacobi-Bellman Equations
Libro 20 di 28: Radon Series on Computational and Applied MathematicsDa: Rarewaves USA United, OSWEGO, IL, U.S.A.
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Aggiungi al carrelloHardback. 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.
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Approximation of Stochastic Invariant Manifolds: Stochastic Manifolds for Nonlinear SPDEs I (SpringerBriefs in Mathematics)
Libro 52 di 155: SpringerBriefs in MathematicsDa: Majestic Books, Hounslow, Regno Unito
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Stochastic Parameterizing Manifolds and Non-Markovian Reduced Equations: Stochastic Manifolds for Nonlinear SPDEs II (SpringerBriefs in Mathematics)
Libro 53 di 155: SpringerBriefs in MathematicsDa: Majestic Books, Hounslow, Regno Unito
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Aggiungi al carrelloCondizione: New. Print on Demand 148.
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Approximation of Stochastic Invariant Manifolds: Stochastic Manifolds for Nonlinear SPDEs I (SpringerBriefs in Mathematics)
Libro 52 di 155: SpringerBriefs in MathematicsDa: Biblios, Frankfurt am main, HESSE, Germania
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Stochastic Parameterizing Manifolds and Non-Markovian Reduced Equations: Stochastic Manifolds for Nonlinear SPDEs II (SpringerBriefs in Mathematics)
Libro 53 di 155: SpringerBriefs in MathematicsDa: Biblios, Frankfurt am main, HESSE, Germania
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Approximation of Invariant Manifolds
Libro 52 di 155: SpringerBriefs in MathematicsLingua: Inglese
Editore: Springer International Publishing, 2015
ISBN 10: 3319124951 ISBN 13: 9783319124957
EUR 48,37
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This first volume is concerned with the analytic derivation of explicit formulas for the leading-order Taylor approximations of (local) stochastic invariant manifolds associated with a broad class of nonlinear stochastic partial differential equations. Thes.
