controlled diffusion processes (58 résultats)

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gebundene Ausgabe. 308 Seiten --- Zustand: innen und außen bis auf kleinere Gebrauchsspuren gutes und sauberes Exemplar, in dieser Serie kann es vorkommen, dass 1- 3x ExLibris Stempel mit Namen enthalten sind oder das handschriftlich "with Ex." oder "avec exc." geschrieben wurde, Einband lichtrandig --- Wir versenden nach Vorauszahlung, meistens am nächsten, spätestens am übernächsten Arbeitstag. Der Versand erfolgt über eine schnelle Versandart, Brief, Hermes oder DHL --- Gewicht: ---- Lagerfach: 752-150-E24 Sprache: Englisch Gewicht in Gramm: 606.

Hardcover. Etat : Good. 0444824723 Good++; Hardcover; Withdrawn library copy with the standard library markings; Very light wear to the covers; Library stamps to the endpapers; Text pages are clean & unmarked; Binding is excellent with a straight spine; This book will be stored and delivered in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); Brown cloth covers with title in gold lettering; 1996, Elsevier Science Publishing; 636 pages; "Modern Aspects of Diffusion-Controlled Reactions, Volume 34: Cooperative Phenomena in Bimolecular Processes (Comprehensive Chemical Kinetics)," by E. Kotomin & V. Kuzovkov.

hardcover. Etat : New. In shrink wrap. Looks like an interesting title!

Etat : New. This book covers the optimal control of solutions of fully observable Ito-type stochastic differential equations. It proves the validity of the Bellman differential equation for payoff functions and develops rules for optimal control strategies. Translator(s): Aries, A. B. Series: Stochastic Modelling and Applied Probability. Num Pages: 322 pages, biography. BIC Classification: PBT; PBW. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 17. Weight in Grams: 498. . 2008. 1980th Edition. paperback. . . . .

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Paperback. Etat : Brand New. reprint edition. 307 pages. 9.25x6.25x0.75 inches. In Stock.

Taschenbuch. Etat : Neu. Neuware -Stochastic control theory is a relatively young branch of mathematics. The beginning of its intensive development falls in the late 1950s and early 1960s. ~urin~ that period an extensive literature appeared on optimal stochastic control using the quadratic performance criterion (see references in Wonham [76]). At the same time, Girsanov [25] and Howard [26] made the first steps in constructing a general theory, based on Bellman's technique of dynamic programming, developed by him somewhat earlier [4]. Two types of engineering problems engendered two different parts of stochastic control theory. Problems of the first type are associated with multistep decision making in discrete time, and are treated in the theory of discrete stochastic dynamic programming. For more on this theory, we note in addition to the work of Howard and Bellman, mentioned above, the books by Derman [8], Mine and Osaki [55], and Dynkin and Yushkevich [12]. Another class of engineering problems which encouraged the development of the theory of stochastic control involves time continuous control of a dynamic system in the presence of random noise. The case where the system is described by a differential equation and the noise is modeled as a time continuous random process is the core of the optimal control theory of diffusion processes. This book deals with this latter theory.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 324 pp. Englisch.

Etat : New. This book covers the optimal control of solutions of fully observable Ito-type stochastic differential equations. It proves the validity of the Bellman differential equation for payoff functions and develops rules for optimal control strategies. Translator(s): Aries, A. B. Series: Stochastic Modelling and Applied Probability. Num Pages: 322 pages, biography. BIC Classification: PBT; PBW. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 17. Weight in Grams: 498. . 2008. 1980th Edition. paperback. . . . . Books ship from the US and Ireland.

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Stochastic control theory is a relatively young branch of mathematics. The beginning of its intensive development falls in the late 1950s and early 1960s. ~urin~ that period an extensive literature appeared on optimal stochastic control using the quadratic performance criterion (see references in Wonham [76]). At the same time, Girsanov [25] and Howard [26] made the first steps in constructing a general theory, based on Bellman's technique of dynamic programming, developed by him somewhat earlier [4]. Two types of engineering problems engendered two different parts of stochastic control theory. Problems of the first type are associated with multistep decision making in discrete time, and are treated in the theory of discrete stochastic dynamic programming. For more on this theory, we note in addition to the work of Howard and Bellman, mentioned above, the books by Derman [8], Mine and Osaki [55], and Dynkin and Yushkevich [12]. Another class of engineering problems which encouraged the development of the theory of stochastic control involves time continuous control of a dynamic system in the presence of random noise. The case where the system is described by a differential equation and the noise is modeled as a time continuous random process is the core of the optimal control theory of diffusion processes. This book deals with this latter theory.

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Etat : New. In.

Etat : good. Fast Free Shipping â" Good condition book with a firm cover and clean, readable pages. Shows normal use, including some light wear or limited notes highlighting, yet remains a dependable copy overall. Supplemental items like CDs or access codes may not be included.

Etat : New. pp. 324.

Etat : New. pp. 324.

Etat : New. Translator(s): Aries, A. B. Series: Stochastic Modelling and Applied Probability. Num Pages: 320 pages, biography. BIC Classification: PBT. Category: (G) General (US: Trade). Dimension: 236 x 156 x 23. Weight in Grams: 492. . 2011. Softcover reprint of the original 1st ed. 1980. paperback. . . . .

Etat : New. 1980. 1980th Edition. hardcover. . . . . .

paperback. Etat : Very Good.

Buch. Etat : Neu. Neuware -Stochastic control theory is a relatively young branch of mathematics. The beginning of its intensive development falls in the late 1950s and early 1960s. During that period an extensive literature appeared on optimal stochastic control using the quadratic performance criterion (see references in W onham [76J). At the same time, Girsanov [25J and Howard [26J made the first steps in constructing a general theory, based on Bellman's technique of dynamic programming, developed by him somewhat earlier [4J. Two types of engineering problems engendered two different parts of stochastic control theory. Problems of the first type are associated with multistep decision making in discrete time, and are treated in the theory of discrete stochastic dynamic programming. For more on this theory, we note in addition to the work of Howard and Bellman, mentioned above, the books by Derman [8J, Mine and Osaki [55J, and Dynkin and Yushkevich [12]. Another class of engineering problems which encouraged the development of the theory of stochastic control involves time continuous control of a dynamic system in the presence of random noise. The case where the system is described by a differential equation and the noise is modeled as a time continuous random process is the core of the optimal control theory of diffusion processes. This book deals with this latter theory. 324 pp. Englisch.

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Stochastic control theory is a relatively young branch of mathematics. The beginning of its intensive development falls in the late 1950s and early 1960s. During that period an extensive literature appeared on optimal stochastic control using the quadratic performance criterion (see references in W onham [76J). At the same time, Girsanov [25J and Howard [26J made the first steps in constructing a general theory, based on Bellman's technique of dynamic programming, developed by him somewhat earlier [4J. Two types of engineering problems engendered two different parts of stochastic control theory. Problems of the first type are associated with multistep decision making in discrete time, and are treated in the theory of discrete stochastic dynamic programming. For more on this theory, we note in addition to the work of Howard and Bellman, mentioned above, the books by Derman [8J, Mine and Osaki [55J, and Dynkin and Yushkevich [12]. Another class of engineering problems which encouraged the development of the theory of stochastic control involves time continuous control of a dynamic system in the presence of random noise. The case where the system is described by a differential equation and the noise is modeled as a time continuous random process is the core of the optimal control theory of diffusion processes. This book deals with this latter theory.

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Stochastic control theory is a relatively young branch of mathematics. The beginning of its intensive development falls in the late 1950s and early 1960s. During that period an extensive literature appeared on optimal stochastic control using the quadratic performance criterion (see references in W onham [76J). At the same time, Girsanov [25J and Howard [26J made the first steps in constructing a general theory, based on Bellman's technique of dynamic programming, developed by him somewhat earlier [4J. Two types of engineering problems engendered two different parts of stochastic control theory. Problems of the first type are associated with multistep decision making in discrete time, and are treated in the theory of discrete stochastic dynamic programming. For more on this theory, we note in addition to the work of Howard and Bellman, mentioned above, the books by Derman [8J, Mine and Osaki [55J, and Dynkin and Yushkevich [12]. Another class of engineering problems which encouraged the development of the theory of stochastic control involves time continuous control of a dynamic system in the presence of random noise. The case where the system is described by a differential equation and the noise is modeled as a time continuous random process is the core of the optimal control theory of diffusion processes. This book deals with this latter theory.

hardcover. Etat : New. In shrink wrap. Looks like an interesting title!

hardcover. Etat : New. In shrink wrap. Looks like an interesting title!