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Librería: Books From California, Simi Valley, CA, Estados Unidos de America
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Añadir al carritopaperback. Condición: Good. Ex- library book with stamps/ stickers.
Librería: Basi6 International, Irving, TX, Estados Unidos de America
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Añadir al carritoCondición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
EUR 76,73
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Añadir al carritoCondición: 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.
EUR 76,73
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Añadir al carritoCondición: 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.
Idioma: Inglés
Publicado por Springer, Berlin, 1988
Librería: Antiquariat Renner OHG, Albstadt, Alemania
Miembro de asociación: BOEV
EUR 30,00
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Añadir al carritoHardcover. Condición: Sehr gut. Berlin, Springer (1988). gr.8°. 62 figs. XIII, 571 p. Hardbound. (back slightly faded, otherwise in very good condition).- Springer Series in Computational Mathematics, 10.
Librería: Basi6 International, Irving, TX, Estados Unidos de America
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Librería: Peak Pearl LLC, Holly Springs, NC, Estados Unidos de America
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Librería: Books Puddle, New York, NY, Estados Unidos de America
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Añadir al carritoCondición: New. pp. 600.
Librería: Phatpocket Limited, Waltham Abbey, HERTS, Reino Unido
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Añadir al carritoCondición: Like New. Used - Like New. Book is new and unread but may have minor shelf wear. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Librería: BookOrders, Russell, IA, Estados Unidos de America
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Añadir al carritoSoft Cover. Condición: Good. Ex-library with the usual features. The interior is clean and tight. Binding is good. Cover shows light wear and has library label on the spine. 336 pages. Ex-Library.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 79,23
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Idioma: Inglés
Publicado por Springer Berlin Heidelberg, 2011
ISBN 10: 3642648134 ISBN 13: 9783642648137
Librería: moluna, Greven, Alemania
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Añadir al carritoCondición: Used. pp. 348 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Idioma: Inglés
Publicado por Springer Berlin Heidelberg, 2011
ISBN 10: 3642648134 ISBN 13: 9783642648137
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 53,49
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Rapid changes in today's environment emphasize the need for models and meth ods capable of dealing with the uncertainty inherent in virtually all systems re lated to economics, meteorology, demography, ecology, etc. Systems involving interactions between man, nature and technology are subject to disturbances which may be unlike anything which has been experienced in the past. In the technological revolution increases uncertainty-as each new stage particular, perturbs existing knowledge of structures, limitations and constraints. At the same time, many systems are often too complex to allow for precise measure ment of the parameters or the state of the system. Uncertainty, nonstationarity, disequilibrium are pervasivE' characteristics of most modern systems. In order to manage such situations (or to survive in such an environment) we must develop systems which can facilitate oar response to uncertainty and changing conditions. In our individual behavior we often follow guidelines that are conditioned by the need to be prepared for all (likely) eventualities: insur ance, wearing seat belts, savings versus investments, annual medical check.ups, even keeping an umbrella at the office, etc. One can identify two major types of mechanisms: the short term adaptive adjustments (defensive driving, mar keting, inventory control, etc.) that are made after making some observations of the system's parameters, and the long term anticipative actions (engineer ing design, policy setting, allocation of resources, investment strategies, etc.).
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Añadir al carritoTaschenbuch. Condición: Neu. Numerical Techniques for Stochastic Optimization | Yuri Ermoliev (u. a.) | Taschenbuch | Springer Series in Computational Mathematics | xv | Englisch | 2011 | Springer | EAN 9783642648137 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Añadir al carritoCondición: Sehr gut. Zustand: Sehr gut | Seiten: 277 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Librería: Mispah books, Redhill, SURRE, Reino Unido
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Añadir al carritoPaperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 2012 edition. 378 pages. 9.00x6.00x0.75 inches. In Stock.
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Añadir al carritoTaschenbuch. Condición: Neu. Coping with Uncertainty | Modeling and Policy Issues | Kurt Marti (u. a.) | Taschenbuch | xiii | Englisch | 2006 | Springer | EAN 9783540352587 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Librería: preigu, Osnabrück, Alemania
EUR 95,70
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Añadir al carritoTaschenbuch. Condición: Neu. Dynamic Stochastic Optimization | Kurt Marti (u. a.) | Taschenbuch | Lecture Notes in Economics and Mathematical Systems | viii | Englisch | 2003 | Springer | EAN 9783540405061 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Idioma: Inglés
Publicado por Springer, Springer Vieweg, 2003
ISBN 10: 3540405062 ISBN 13: 9783540405061
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 106,99
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Uncertainties and changes are pervasive characteristics of modern systems involving interactions between humans, economics, nature and technology. These systems are often too complex to allow for precise evaluations and, as a result, the lack of proper management (control) may create significant risks. In order to develop robust strategies we need approaches which explic itly deal with uncertainties, risks and changing conditions. One rather general approach is to characterize (explicitly or implicitly) uncertainties by objec tive or subjective probabilities (measures of confidence or belief). This leads us to stochastic optimization problems which can rarely be solved by using the standard deterministic optimization and optimal control methods. In the stochastic optimization the accent is on problems with a large number of deci sion and random variables, and consequently the focus ofattention is directed to efficient solution procedures rather than to (analytical) closed-form solu tions. Objective and constraint functions of dynamic stochastic optimization problems have the form of multidimensional integrals of rather involved in that may have a nonsmooth and even discontinuous character - the tegrands typical situation for 'hit-or-miss' type of decision making problems involving irreversibility ofdecisions or/and abrupt changes ofthe system. In general, the exact evaluation of such functions (as is assumed in the standard optimization and control theory) is practically impossible. Also, the problem does not often possess the separability properties that allow to derive the standard in control theory recursive (Bellman) equations.
Librería: Buchpark, Trebbin, Alemania
EUR 65,37
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Añadir al carritoCondición: Gut. Zustand: Gut | Seiten: 348 | Sprache: Englisch | Produktart: Bücher | Uncertainties and changes are pervasive characteristics of modern systems involving interactions between humans, economics, nature and technology. These systems are often too complex to allow for precise evaluations and, as a result, the lack of proper management (control) may create significant risks. In order to develop robust strategies we need approaches which explic itly deal with uncertainties, risks and changing conditions. One rather general approach is to characterize (explicitly or implicitly) uncertainties by objec tive or subjective probabilities (measures of confidence or belief). This leads us to stochastic optimization problems which can rarely be solved by using the standard deterministic optimization and optimal control methods. In the stochastic optimization the accent is on problems with a large number of deci sion and random variables, and consequently the focus ofattention is directed to efficient solution procedures rather than to (analytical) closed-form solu tions. Objective and constraint functions of dynamic stochastic optimization problems have the form of multidimensional integrals of rather involved in that may have a nonsmooth and even discontinuous character - the tegrands typical situation for "hit-or-miss" type of decision making problems involving irreversibility ofdecisions or/and abrupt changes ofthe system. In general, the exact evaluation of such functions (as is assumed in the standard optimization and control theory) is practically impossible. Also, the problem does not often possess the separability properties that allow to derive the standard in control theory recursive (Bellman) equations.
Idioma: Inglés
Publicado por Springer, Berlin, Springer, 2012
ISBN 10: 3642228836 ISBN 13: 9783642228834
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 111,53
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Managing safety of diverse systems requires decision-making under uncertainties and risks. Such systems are typically characterized by spatio-temporal heterogeneities, inter-dependencies, externalities, endogenous risks, discontinuities, irreversibility, practically irreducible uncertainties, and rare events with catastrophic consequences. Traditional scientific approaches rely on data from real observations and experiments; yet no sufficient observations exist for new problems, and experiments are usually impossible. Therefore, science-based support for addressing such new class of problems needs to replace the traditional 'deterministic predictions' analysis by new methods and tools for designing decisions that are robust against the involved uncertainties and risks. The new methods treat uncertainties explicitly by using 'synthetic' information derived by integration of 'hard' elements, including available data, results of possible experiments, and formal representations of scientific facts, with 'soft' elements based on diverse representations of scenarios and opinions of public, stakeholders, and experts. The volume presents such effective new methods, and illustrates their applications in different problem areas, including engineering, economy, finance, agriculture, environment, and policy making.