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Sequential stochastic optimization

Sequential Stochastic Optimization provides mathematicians and applied researchers with a well-developed framework in which stochastic optimization problems can be formulated and solved. Offering much material that is either new or has never before appeared in book form, it lucidly presents a unifie...

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Detalles Bibliográficos
Autores principales: Cairoli, Renzo, Dalang, Robert C
Lenguaje:eng
Publicado: Wiley 1996
Materias:
Acceso en línea:http://cds.cern.ch/record/289248
Descripción
Sumario:Sequential Stochastic Optimization provides mathematicians and applied researchers with a well-developed framework in which stochastic optimization problems can be formulated and solved. Offering much material that is either new or has never before appeared in book form, it lucidly presents a unified theory of optimal stopping and optimal sequential control of stochastic processes. This book has been carefully organized so that little prior knowledge of the subject is assumed; its only prerequisites are a standard graduate course in probability theory and some familiarity with discrete-paramet