Review of Continuous Time Models.- Controlled Markov Chains.- Dynamic Programming Equations.- Markov Chain Approximation Method.- The Approximating Markov Chains.- Computational Methods.- The Ergodic Cost Problem.- Heavy Traffic and Singular Control.- Weak Convergence and the Characterization of Processes.- Convergence Proofs.- Convergence Proofs Continued.- Finite Time and Filtering Problems.- Controlled Variance and Jumps.- Problems from the Calculus of Finite Time Horizon.- Problems from the Calculus of Infinite Time Horizon.- The Viscosity Solution Approach.
"synopsis" may belong to another edition of this title.
"The second edition of this acclaimed book from Springer-Verlag has the latest theoretical and practical information on solving stochastic control problems. Including proofs and algorithms using diffusion, jump-diffusion, and other process models, the authors help make randomness a little less scary."
Amazon.com Delivers Mathematics and Statistics e-bulletin, July 2001
"About this title" may belong to another edition of this title.
US$ 28.04 shipping from Germany to U.S.A.
Destination, rates & speedsSeller: NEPO UG, Rüsselsheim am Main, Germany
Gebundene Ausgabe. Condition: Sehr gut. 439 Seiten nice ex library book Sprache: Englisch Gewicht in Gramm: 550. Seller Inventory # 342386
Quantity: 1 available
Seller: dsmbooks, Liverpool, United Kingdom
hardcover. Condition: Very Good. Very Good. book. Seller Inventory # D8S0-3-M-3540978348-4
Quantity: 1 available