Numerical Techniques for Stochastic Optimization

Name: Numerical Techniques for Stochastic Optimization
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642648137
Price: 52.72 EUR
Availability: InStock

Автор: Yuri Ermoliev, Roger J-B. Wets

Език:

Корици: С меки корици

Издател: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Наличност: Външен склад

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Rapid changes in today's environment emphasize the need for models and meth ods capable of dealing w...

Информация за книгата

Автор

Yuri Ermoliev, Roger J-B. Wets

Език

Английски език

Корици

Книга - С меки корици

Издадена

2011

страници

571

EAN

9783642648137

ISBN

9783642648137

Enbook ID

06623433

Издател

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Теглоt

857

Размери

152 x 229 x 33

Пълно описание

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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Numerical Techniques for Stochastic Optimization

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