Continuous-Time Markov Decision Processes: Theory and Applications: 62 (Stochastic Modelling and Applied Probability) - Hardcover

Guo, Xianping; Hernández-Lerma, Onésimo

Hardcover

ISBN 10: 3642025463 ISBN 13: 9783642025464

Verlag: Springer, 2009

Inhaltsangabe

Book by Guo Xianping HernandezLerma Onesimo

Über diesen Titel

Críticas

From the reviews:

“The book consists of 12 chapters. ... this is the first monograph on continuous-time Markov decision process. ... This is an important book written by leading experts on a mathematically rich topic which has many applications to engineering, business, and biological problems. ... scholars and students interested in developing the theory of continuous-time Markov decision Processes or working on their applications should have this book.” (E. A. Feinberg, Mathematical Reviews, Issue 2011 b)

Reseña del editor

Continuous-time Markov decision processes (MDPs), also known as controlled Markov chains, are used for modeling decision-making problems that arise in operations research (for instance, inventory, manufacturing, and queueing systems), computer science, communications engineering, control of populations (such as fisheries and epidemics), and management science, among many other fields. This volume provides a unified, systematic, self-contained presentation of recent developments on the theory and applications of continuous-time MDPs. The MDPs in this volume include most of the cases that arise in applications, because they allow unbounded transition and reward/cost rates. Much of the material appears for the first time in book form.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2009
• ISBN 10: 3642025463
• ISBN 13: 9783642025464
• Einband: Tapa dura
• Sprache: Englisch
• Anzahl der Seiten: 254