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Networks, games, and dynamicsfrom dynamical systems and stochastic analysis to transportation theory and optimal control /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Networks, games, and dynamicsedited by Mansoor Saburov, Naira Hovakimyan, Armen Bagdasaryan.
其他題名:	from dynamical systems and stochastic analysis to transportation theory and optimal control /
其他作者:	Saburov, Mansoor.
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	viii, 308 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Stochastic analysis.
電子資源:	https://doi.org/10.1007/978-3-032-09176-5
ISBN:	9783032091765$q(electronic bk.)

Networks, games, and dynamicsfrom dynamical systems and stochastic analysis to transportation theory and optimal control /
Networks, games, and dynamicsfrom dynamical systems and stochastic analysis to transportation theory and optimal control /[electronic resource] :edited by Mansoor Saburov, Naira Hovakimyan, Armen Bagdasaryan. - Cham :Springer Nature Switzerland :2025. - viii, 308 p. :ill. (some col.), digital ;24 cm. - Trends in mathematics,2297-024X. - Trends in mathematics..

- Bagdasaryan, A. Geometric, Dynamic, and Stochastic Analysis of Wardrop-Schur Optimal Transport Networks -- O'Neill, S. and Bagdasar, O. Classical and Novel Measures for Component Criticality in Selfish-Routing Networks -- Daher, W.; Damrah, S.; and Aydilek, H. Review of the Single-Period Kyle Model (1985) -- Dingle, K. Curious Coincidences and Kolmogorov Complexity -- Medfouni, M.N.; Saber, M.; Korichi, K.; Marouf, N.; and Mabrouk, E. Predicting Solid Flow and Suspended Sediment Concentrations in a Semi-Arid Environment using Machine Learning and Deep Learning Approaches -- Azizi, S.P.; Nafei, A.; and Hamzi, B. EDM-2DSL: Calibrated Dynamical Modeling of Signal Decomposition Systems with Applications in Time Series Forecasting -- Saburov, M. On Ganikhodjaev Algebra of Cubic Matrices -- Ganikhodjaev, N. Quadratic Stochastic Operators: Ergodic Properties and Their Applications to Evolutionary Games and Economic Models -- Ganikhodjaev, N. and Zanin, D. Ergodic Volterra Quadratic Mappings of the Simplex -- Saburov, M.; Saburov, K.; and Saburov, K. Global Stability of Quadratic Stochastic Operators Associated with Column Primitive Cubic Doubly Stochastic Matrices -- Abdushukurov, A.A.; Muradov, R.S. Stochastic Analysis of Survival Functions Using Copulas and Its Applications -- Mukhamedov, F. and Khakimov, O. P-adic dynamical systems foλ-models on the Cayley trees.

This contributed volume provides an integrated perspective on modern mathematical and computational techniques for addressing complex problems in networks, control systems, learning, and game theory. It emcompasses state-of-the-art research from a diverse range of disciplines, including dynamical systems, stochastic analysis, optimization, game theory, machine learning, and transportation theory. Particular emphasis is placed on connecting rigorous theoretical developments with real-world applications. This volume is organized in twelve chapters. The first part (Chapters 1-6) addresses the optimal transportation problem in traffic networks. The second part (Chapters 7-11) investigates Markov chains with memory by examining the geometric, algebraic, dynamical, and ergodic properties of quadratic (polynomial) stochastic operators associated with cubic stochastic hypermatrices. Finally, Chapter 12 illustrates how methods from stochastic analysis and dynamical systems can be applied to lattice models of statistical mechanics defined on a Cayley tree. Intended to serve as a comprehensive reference for academics and researchers, this volume may also benefit practicioners and anyone interested in exploring the interplay among these fields.

ISBN: 9783032091765$q(electronic bk.)

Standard No.: 10.1007/978-3-032-09176-5doiSubjects--Topical Terms:

183332
Stochastic analysis.

LC Class. No.: QA274.2

Dewey Class. No.: 519.22

Networks, games, and dynamicsfrom dynamical systems and stochastic analysis to transportation theory and optimal control /
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520 $a This contributed volume provides an integrated perspective on modern mathematical and computational techniques for addressing complex problems in networks, control systems, learning, and game theory. It emcompasses state-of-the-art research from a diverse range of disciplines, including dynamical systems, stochastic analysis, optimization, game theory, machine learning, and transportation theory. Particular emphasis is placed on connecting rigorous theoretical developments with real-world applications. This volume is organized in twelve chapters. The first part (Chapters 1-6) addresses the optimal transportation problem in traffic networks. The second part (Chapters 7-11) investigates Markov chains with memory by examining the geometric, algebraic, dynamical, and ergodic properties of quadratic (polynomial) stochastic operators associated with cubic stochastic hypermatrices. Finally, Chapter 12 illustrates how methods from stochastic analysis and dynamical systems can be applied to lattice models of statistical mechanics defined on a Cayley tree. Intended to serve as a comprehensive reference for academics and researchers, this volume may also benefit practicioners and anyone interested in exploring the interplay among these fields.
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