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Stochastic Deterministic Systems Iterative by Ladde (7 results)

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  • Language: English

    Published by WSPC, 2024

    9811287473 / 9789811287473

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  • Language: English

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  • Language: English

    Published by World Scientific Publishing Co Pte Ltd, 2024

    9811287473 / 9789811287473

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    Hardcover. Condition: Brand New. 342 pages. 9.25x6.25x1.00 inches. In Stock.

  • Language: English

    Published by World Scientific Publishing Company, 2024

    9811287473 / 9789811287473

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  • Language: English

    Published by World Scientific Publishing Co Pte Ltd, 2024

    9811287473 / 9789811287473

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    Language: English

    Published by World Scientific, 2024

    9811287473 / 9789811287473

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    Buch. Condition: Neu. STOCHASTIC VERSUS DETERMINISTIC SYSTEMS ITERATIVE PROCESSES | Ladde G S | Buch | Englisch | 2024 | World Scientific | EAN 9789811287473 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

  • Language: English

    Published by World Scientific, 2024

    9811287473 / 9789811287473

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    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Continuous state dynamic models can be reformulated into discrete state processes. This process generates numerical schemes that lead theoretical iterative schemes. This type of method of stochastic modelling generates three basic problems. First, the fundamental properties of solution, namely, existence, uniqueness, measurability, continuous dependence on system parameters depend on mode of convergence. Second, the basic probabilistic and statistical properties, namely, the behavior of mean, variance, moments of solutions are described as qualitative/quantitative properties of solution process. We observe that the nature of probability distribution or density functions possess the qualitative/quantitative properties of iterative prosses as a special case. Finally, deterministic versus stochastic modelling of dynamic processes is to what extent the stochastic mathematical model differs from the corresponding deterministic model in the absence of random disturbances or fluctuations and uncertainties.Most literature in this subject was developed in the 1950s, and focused on the theory of systems of continuous and discrete-time deterministic; however, continuous-time and its approximation schemes of stochastic differential equations faced the solutions outlined above and made slow progress in developing problems. This monograph addresses these problems by presenting an account of stochastic versus deterministic issues in discrete state dynamic systems in a systematic and unified way.…