Modeling Stochastic Control Optimization and Applications is popular PDF and ePub book, written by George Yin in 2019-07-16, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Modeling Stochastic Control Optimization and Applications can be Read Online from any device for your convenience.

Modeling Stochastic Control Optimization and Applications Book PDF Summary

This volume collects papers, based on invited talks given at the IMA workshop in Modeling, Stochastic Control, Optimization, and Related Applications, held at the Institute for Mathematics and Its Applications, University of Minnesota, during May and June, 2018. There were four week-long workshops during the conference. They are (1) stochastic control, computation methods, and applications, (2) queueing theory and networked systems, (3) ecological and biological applications, and (4) finance and economics applications. For broader impacts, researchers from different fields covering both theoretically oriented and application intensive areas were invited to participate in the conference. It brought together researchers from multi-disciplinary communities in applied mathematics, applied probability, engineering, biology, ecology, and networked science, to review, and substantially update most recent progress. As an archive, this volume presents some of the highlights of the workshops, and collect papers covering a broad range of topics.

Detail Book of Modeling Stochastic Control Optimization and Applications PDF

Modeling  Stochastic Control  Optimization  and Applications
  • Author : George Yin
  • Release : 16 July 2019
  • Publisher : Springer
  • ISBN : 9783030254988
  • Genre : Mathematics
  • Total Page : 599 pages
  • Language : English
  • PDF File Size : 19,7 Mb

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Stochastic Optimization Methods

Stochastic Optimization Methods Author : Kurt Marti
Publisher : Springer
File Size : 32,5 Mb
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This book examines optimization problems that in practice involve random model parameters. It detail...