1995, ISBN: 0387945792

[EAN: 9780387945798], Neubuch, [PU: Springer New York Dez 1995], MARKOWSCHE KETTE - MARKOV CHAIN; WAHRSCHEINLICHKEIT WAHRSCHEINLICHKEITSTHEORIE; MARKOVPROPERTY; LINEAROPTIMIZATION; MANAGE… More...

[EAN: 9780387945798], Neubuch, [PU: Springer New York Dez 1995], MARKOWSCHE KETTE - MARKOV CHAIN; WAHRSCHEINLICHKEIT WAHRSCHEINLICHKEITSTHEORIE; MARKOVPROPERTY; LINEAROPTIMIZATION; MANAGEMENT; MODEL; OPERATIONSRESEARCH; PRODUCTION; PROGRAMMING; QUALITY; SCIENCE, This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents the first part of a planned two-volume series devoted to a systematic exposition of some recent developments in the theory of discrete-time Markov control processes (MCPs). Interest is mainly confined to MCPs with Borel state and control (or action) spaces, and possibly unbounded costs and noncompact control constraint sets. MCPs are a class of stochastic control problems, also known as Markov decision processes, controlled Markov processes, or stochastic dynamic pro grams; sometimes, particularly when the state space is a countable set, they are also called Markov decision (or controlled Markov) chains. Regardless of the name used, MCPs appear in many fields, for example, engineering, economics, operations research, statistics, renewable and nonrenewable re source management, (control of) epidemics, etc. However, most of the lit erature (say, at least 90%) is concentrated on MCPs for which (a) the state space is a countable set, and/or (b) the costs-per-stage are bounded, and/or (c) the control constraint sets are compact. But curiously enough, the most widely used control model in engineering and economics--namely the LQ (Linear system/Quadratic cost) model-satisfies none of these conditions. Moreover, when dealing with 'partially observable' systems) a standard approach is to transform them into equivalent 'completely observable' sys tems in a larger state space (in fact, a space of probability measures), which is uncountable even if the original state process is finite-valued. 236 pp. Englisch, Books<

1996, ISBN: 0387945792

[EAN: 9780387945798], Neubuch, [PU: Springer New York], MARKOWSCHE KETTE - MARKOV CHAIN; WAHRSCHEINLICHKEIT WAHRSCHEINLICHKEITSTHEORIE; MARKOVPROPERTY; LINEAROPTIMIZATION; MANAGEMENT; MOD… More...

[EAN: 9780387945798], Neubuch, [PU: Springer New York], MARKOWSCHE KETTE - MARKOV CHAIN; WAHRSCHEINLICHKEIT WAHRSCHEINLICHKEITSTHEORIE; MARKOVPROPERTY; LINEAROPTIMIZATION; MANAGEMENT; MODEL; OPERATIONSRESEARCH; PRODUCTION; PROGRAMMING; QUALITY; SCIENCE, Druck auf Anfrage Neuware - Printed after ordering - This book presents the first part of a planned two-volume series devoted to a systematic exposition of some recent developments in the theory of discrete-time Markov control processes (MCPs). Interest is mainly confined to MCPs with Borel state and control (or action) spaces, and possibly unbounded costs and noncompact control constraint sets. MCPs are a class of stochastic control problems, also known as Markov decision processes, controlled Markov processes, or stochastic dynamic pro grams; sometimes, particularly when the state space is a countable set, they are also called Markov decision (or controlled Markov) chains. Regardless of the name used, MCPs appear in many fields, for example, engineering, economics, operations research, statistics, renewable and nonrenewable re source management, (control of) epidemics, etc. However, most of the lit erature (say, at least 90%) is concentrated on MCPs for which (a) the state space is a countable set, and/or (b) the costs-per-stage are bounded, and/or (c) the control constraint sets are compact. But curiously enough, the most widely used control model in engineering and economics--namely the LQ (Linear system/Quadratic cost) model-satisfies none of these conditions. Moreover, when dealing with 'partially observable' systems) a standard approach is to transform them into equivalent 'completely observable' sys tems in a larger state space (in fact, a space of probability measures), which is uncountable even if the original state process is finite-valued. 236 pp. Englisch, Books<

1995, ISBN: 0387945792

1996 Gebundene Ausgabe Markowsche Kette - Markov Chain, Wahrscheinlichkeit - Wahrscheinlichkeitstheorie, Wahrscheinlichkeitsrechnung und Statistik, Angewandte Mathematik, Ingenieurswese… More...

1996 Gebundene Ausgabe Markowsche Kette - Markov Chain, Wahrscheinlichkeit - Wahrscheinlichkeitstheorie, Wahrscheinlichkeitsrechnung und Statistik, Angewandte Mathematik, Ingenieurswesen, Maschinenbau allgemein, science; Markov property; linear optimization; management; Model; Operations Research; production; programming; quality, mit Schutzumschlag 11, [PU:Springer New York; Springer US]<

1995, ISBN: 9780387945798

Basic Optimality Criteria, Buch, Hardcover, 1996 ed. [PU: Springer-Verlag New York Inc.], Springer-Verlag New York Inc., 1995