Published by Dunod, 1969
Seller: Ammareal, Morangis, France
Condition: Bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Edition 1969. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Slight signs of wear on the cover. Edition 1969. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. 1st edition NO-PA16APR2015-KAP.
Seller: Majestic Books, Hounslow, United Kingdom
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Language: English
Published by ISTE Ltd and John Wiley and Sons Inc, 2023
ISBN 10: 1786309114 ISBN 13: 9781786309112
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketHRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by ISTE Ltd and John Wiley & Sons Inc, London, 2023
ISBN 10: 1786309114 ISBN 13: 9781786309112
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. This book illustrates a number of asymptotic and analytic approaches applied for the study of random evolutionary systems, and considers typical problems for specific examples. In this case, constructive mathematical models of natural processes are used, which more realistically describe the trajectories of diffusion-type processes, rather than those of the Wiener process. We examine models where particles have some free distance between two consecutive collisions. At the same time, we investigate two cases: the Markov evolutionary system, where the time during which the particle moves towards some direction is distributed exponentially with intensity parameter l; and the semi-Markov evolutionary system, with arbitrary distribution of the switching process. Thus, the models investigated here describe the motion of particles with a finite speed and the proposed random evolutionary process with characteristics of a natural physical process: free run and finite propagation speed. In the proposed models, the number of possible directions of evolution can be finite or infinite. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: 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.
Language: English
Published by ISTE Ltd and John Wiley & Sons Inc, London, 2020
ISBN 10: 1786305984 ISBN 13: 9781786305985
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: 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.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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