ISBN: 9780857296849 - lyapunov functionals and stability of stochastic difference equations (13 risultati)

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  • Lingua: Inglese

    Editore: Springer, 2011

    0857296841 / 9780857296849

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    Condizione: very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships USPS Media Mail.…

  • Lingua: Inglese

    Editore: Springer, 2011

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    Editore: Springer, 2011

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  • Lingua: Inglese

    Editore: Springer, 2011

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    Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Hereditary systems (or systems with either delay or after-effects) are widely used to model processes in physics, mechanics, control, economics and biology. An important element in their study is their stability. Stability conditions for difference equations with delay can be obtained using a Lyapunov functional.Lyapunov Functionals and Stability of Stochastic Difference Equations describes a general method of Lyapunov functional construction to investigate the stability of discrete- and continuous-time stochastic Volterra difference equations. The method allows the investigation of the degree to which the stability properties of differential equations are preserved in their difference analogues.The text is self-contained, beginning with basic definitions and the mathematical fundamentals of Lyapunov functional construction and moving on from particular to general stability results for stochastic difference equations with constant coefficients. Results are then discussed for stochastic difference equations of linear, nonlinear, delayed, discrete and continuous types. Examples are drawn from a variety of physical systems including inverted pendulum control, study of epidemic development, Nicholson's blowflies equation and predator-prey relationships.Lyapunov Functionals and Stability of Stochastic Difference Equations is primarily addressed to experts in stability theory but will also be of use in the work of pure and computational mathematicians and researchers using the ideas of optimal control to study economic, mechanical and biological systems.…

  • Lingua: Inglese

    Editore: Springer, 2011

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    Condizione: New. pp. 384.

  • Lingua: Inglese

    Editore: Springer Verlag, 2011

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    Hardcover. Condizione: Brand New. 1st edition. 290 pages. 9.30x6.10x1.00 inches. In Stock.

  • Lingua: Inglese

    Editore: Springer, 2011

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  • Lingua: Inglese

    Editore: Springer London Jun 2011, 2011

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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 -Hereditary systems (or systems with either delay or after-effects) are widely used to model processes in physics, mechanics, control, economics and biology. An important element in their study is their stability. Stability conditions for difference equations with delay can be obtained using a Lyapunov functional.Lyapunov Functionals and Stability of Stochastic Difference Equations describes a general method of Lyapunov functional construction to investigate the stability of discrete- and continuous-time stochastic Volterra difference equations. The method allows the investigation of the degree to which the stability properties of differential equations are preserved in their difference analogues.The text is self-contained, beginning with basic definitions and the mathematical fundamentals of Lyapunov functional construction and moving on from particular to general stability results for stochastic difference equations with constant coefficients. Results are then discussed for stochastic difference equations of linear, nonlinear, delayed, discrete and continuous types. Examples are drawn from a variety of physical systems including inverted pendulum control, study of epidemic development, Nicholson's blowflies equation and predator-prey relationships.Lyapunov Functionals and Stability of Stochastic Difference Equations is primarily addressed to experts in stability theory but will also be of use in the work of pure and computational mathematicians and researchers using the ideas of optimal control to study economic, mechanical and biological systems. 384 pp. Englisch.…

  • Lingua: Inglese

    Editore: Springer London, 2011

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    Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Detailed description of Lyapunov functional construction will allow researchers to analyse stability results for hereditary systems more easilyProfuse analytical and numerical examples help to explain the methods usedDemonstrates a method t.…

  • Lingua: Inglese

    Editore: Springer, Springer Jun 2011, 2011

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    Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Hereditary systems (or systems with either delay or after-effects) are widely used to model processes in physics, mechanics, control, economics and biology. An important element in their study is their stability. Stability conditions for difference equations with delay can be obtained using a Lyapunov functional.Lyapunov Functionals and Stability of Stochastic Difference Equations describes a general method of Lyapunov functional construction to investigate the stability of discrete- and continuous-time stochastic Volterra difference equations. The method allows the investigation of the degree to which the stability properties of differential equations are preserved in their difference analogues.The text is self-contained, beginning with basic definitions and the mathematical fundamentals of Lyapunov functional construction and moving on from particular to general stability results for stochastic difference equations with constant coefficients. Results are then discussed for stochastic difference equations of linear, nonlinear, delayed, discrete and continuous types. Examples are drawn from a variety of physical systems including inverted pendulum control, study of epidemic development, Nicholson¿s blowflies equation and predator¿prey relationships.Lyapunov Functionals and Stability of Stochastic Difference Equations is primarily addressed to experts in stability theory but will also be of use in the work of pure and computational mathematicians and researchers using the ideas of optimal control to study economic, mechanical and biological systems.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 384 pp. Englisch. …

  • Lingua: Inglese

    Editore: Springer, 2011

    0857296841 / 9780857296849

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    Condizione: New. Print on Demand pp. 384 119 Illus. (117 Col.).

  • Lingua: Inglese

    Editore: Springer, 2011

    0857296841 / 9780857296849

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    Condizione: New. PRINT ON DEMAND pp. 384.