Controlled Markov Processes and Viscosity Solutions

Controlled Markov Processes and Viscosity Solutions

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Nov 19, 2010 · Inglese · Brossura (446 pagine)
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Dettagli del libro

Formato Brossura
Pagine 446
Lingua Inglese
Pubblicato Nov 19, 2010
Editore Springer
Edizione Softcover reprint of hardcover 2nd ed. 2006
ISBN-10 1441920781
ISBN-13 9781441920782

Descrizione

In the realm of stochastic processes, a thorough understanding of controlled Markov processes is essential for both theoretical exploration and practical application. This work delves into the intricate relationship between these processes and viscosity solutions. It establishes a cohesive framework that melds advanced mathematical concepts with real-world scenarios, making it an invaluable resource for researchers, practitioners, and students alike.

Wendell H. Fleming and Halil Mete Soner bring their expertise to the forefront, guiding readers through complex topics with clarity and precision. They explore foundational theories while introducing recent advancements in the field, allowing for a comprehensive understanding of how controlled Markov processes function. Their collaborative insights not only illuminate theory but also bridge the gap to applications in various disciplines.

Throughout the pages, readers encounter a wealth of mathematical techniques and tools, accompanied by illustrative examples that enhance comprehension. The authors emphasize the significance of viscosity solutions, showcasing their applicability in decision-making processes under uncertainty. This aspect lends the book a practical edge, ensuring that theoretical constructs translate effectively into tangible results.

The work stands as a testament to the authors' dedication to advancing the field of stochastic modeling. It invites an audience that ranges from mathematicians to engineers, enabling them to harness the power of controlled Markov processes in their respective domains. With clear exposition and thorough coverage, this publication marks a significant contribution to the ongoing dialogue surrounding stochastic modeling and its vast applications.

Generi

Scienza e Tecnologia Business ed Economia

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