Hernandez Lerma Onesimo (163 results)

Condition: As New. Unread book in perfect condition.

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Hard cover. 1989 ed. Sewn binding. Cloth over boards. 148 p. Contains: Unspecified. Applied Mathematical Sciences, 79. Audience: General/trade. Very good. like new but for previous owner name inside cover.

hardcover. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

Condition: good. This book is in good condition. The cover has minor creases or bends. The binding is tight and pages are intact. Some pages may have writing or highlighting.

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XIII/205 S./pp., Originalpappband (publisher's cardboard covers), Bibliotheksexemplar in sehr gutem Zustand / exlibrary in excellent condition (Stempel auf Titel / title stamped, Rückenschildchen / lettering pannel to the spine, Block sehr gut / contents fine, keine Unterstreichungen oder Anstreichungen / no underlining or remarks, nicht in Folie eingeschlagen / not wrapped up in foil), (Progress in Mathematics 211), Sprache: englisch.…

Hardback or Cased Book. Condition: New. Adaptive Markov Control Processes. Book.

Hardcover. Condition: Gut. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 49 HER 9780387986944 Sprache: Englisch Gewicht in Gramm: 1200.…

Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Hardcover. Condition: As New. Like new, never been used.

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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condition: New.

Condition: New.

Hardcover. Condition: new. Hardcover. This book introduces optimal control problems for large families of deterministic and stochastic systems with discrete or continuous time parameter. These families include most of the systems studied in many disciplines, including Economics, Engineering, Operations Research, and Management Science, among many others.The main objective is to give a concise, systematic, and reasonably self contained presentation of some key topics in optimal control theory. To this end, most of the analyses are based on the dynamic programming (DP) technique. This technique is applicable to almost all control problems that appear in theory and applications. They include, for instance, finite and infinite horizon control problems in which the underlying dynamic system follows either a deterministic or stochastic difference or differential equation. In the infinite horizon case, it also uses DP to study undiscounted problems, such as the ergodic or long-run average cost. After a general introduction to control problems, the book covers the topic dividing into four parts with different dynamical systems: control of discrete-time deterministic systems, discrete-time stochastic systems, ordinary differential equations, and finally a general continuous-time MCP with applications for stochastic differential equations.The first and second part should be accessible to undergraduate students with some knowledge of elementary calculus, linear algebra, and some concepts from probability theory (random variables, expectations, and so forth). Whereas the third and fourth part would be appropriate for advanced undergraduates or graduate students who have a working knowledge of mathematical analysis (derivatives, integrals, .) and stochastic processes. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condition: New. In English.

Condition: New. In English.

Condition: New. In English.

Condition: New. In English.

Condition: New. In English.

Hardcover. Condition: Brand New. 288 pages. 9.25x6.10x0.83 inches. In Stock.

Condition: New. pp. xi + 279.

Condition: New. In English.

Hardcover. Condition: As New. Like new, never been used.

Condition: New. Concerning discrete-time homogeneous Markov chains that admit an invariant probability measure, this book aims to give a presentation on some key issues about the ergodic behavior of these chains. These issues include the various types of convergence of expected and pathwise occupation measures, and ergodic decompositions of the state space. Series: Progress in Mathematics. Num Pages: 208 pages, biography. BIC Classification: PBWL. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 14. Weight in Grams: 486. . 2003. Hardback. . . . .…