Numerical Techniques for Stochastic Optimization (Paperback)

Idioma: inglés

Editorial: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2011

3642648134 / 9783642648137

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Paperback. 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 seatbelts, 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.). 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.). Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

N° de ref. del artículo 9783642648137

Título
Numerical Techniques for Stochastic Optimization (Paperback)
Autor
Yuri Ermoliev
Editorial
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin
Año de publicación
2011
Estado
new
Encuadernación
Paperback
Idioma
inglés
ISBN 10
3642648134
ISBN 13
9783642648137

Grand Eagle Retail

Bensenville, IL, Estados Unidos de America

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Vendedor de IberLibro desde 12 de octubre de 2005

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