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Da: Books Puddle, New York, NY, U.S.A.
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Da: Brook Bookstore On Demand, Napoli, NA, Italia
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Hardcover. Condizione: new. Hardcover. Mathematical methods in engineering are characterized by a wide range of techniques for approaching various problems. Moreover, completely different analysis techniques can be applied to the same problem, which is justified by the difference in specific applications. Therefore, the study of the analyses and solutions of specific problems leads the researcher to generate their own techniques for the analysis of similar problems continuously arising in the process of technical development. Computational Methods and Mathematical Modeling in Cyberphysics and Engineering Applications contains solutions to specific problems in current areas of computational engineering and cyberphysics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: ISTE Ltd and John Wiley & Sons Inc, London, 2020
ISBN 10: 1786305984 ISBN 13: 9781786305985
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. This book is devoted to the system analysis of statistical experiments, determined by the averaged sums of sampling random variables. The dynamics of statistical experiments are given by difference stochastic equations with a speci?ed regression function of increments linear or nonlinear. The statistical experiments are studied by the sample volume increasing (N ??), as well as in discrete-continuous time by the number of stages increasing (k ??) for different conditions imposed on the regression function of increments. The proofs of limit theorems employ modern methods for the operator and martingale characterization of Markov processes, including singular perturbation methods. Furthermore, they justify the representation of a stationary Gaussian statistical experiment with the Markov property, as a stochastic difference equation solution, applying the theorem of normal correlation. The statistical hypotheses verification problem is formulated in the classification of evolutionary processes, which determine the dynamics of the predictable component. The method of stochastic approximation is used for classifying statistical experiments. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 150,80
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 151,23
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 168,56
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Da: Ubiquity Trade, Miami, FL, U.S.A.
EUR 192,41
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Lingua: Inglese
Editore: ISTE Ltd and John Wiley and Sons Inc, GB, 2021
ISBN 10: 1786307529 ISBN 13: 9781786307521
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 196,77
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Aggiungi al carrelloHardback. Condizione: New. Within the field of modeling complex objects in natural sciences, which considers systems that consist of a large number of interacting parts, a good tool for analyzing and fitting models is the theory of random evolutionary systems, considering their asymptotic properties and large deviations. In Random Evolutionary Systems we consider these systems in terms of the operators that appear in the schemes of their diffusion and the Poisson approximation. Such an approach allows us to obtain a number of limit theorems and asymptotic expansions of processes that model complex stochastic systems, both those that are autonomous and those dependent on an external random environment. In this case, various possibilities of scaling processes and their time parameters are used to obtain different limit results.
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.