Optimal Search for Moving Targets is popular PDF and ePub book, written by Lawrence D. Stone in 2016-04-06, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Optimal Search for Moving Targets can be Read Online from any device for your convenience.

Optimal Search for Moving Targets Book PDF Summary

This book begins with a review of basic results in optimal search for a stationary target. It then develops the theory of optimal search for a moving target, providing algorithms for computing optimal plans and examples of their use. Next it develops methods for computing optimal search plans involving multiple targets and multiple searchers with realistic operational constraints on search movement. These results assume that the target does not react to the search. In the final chapter there is a brief overview of mostly military problems where the target tries to avoid being found as well as rescue or rendezvous problems where the target and the searcher cooperate. Larry Stone wrote his definitive book Theory of Optimal Search in 1975, dealing almost exclusively with the stationary target search problem. Since then the theory has advanced to encompass search for targets that move even as the search proceeds, and computers have developed sufficient capability to employ the improved theory. In this book, Stone joins Royset and Washburn to document and explain this expanded theory of search. The problem of how to search for moving targets arises every day in military, rescue, law enforcement, and border patrol operations.

Detail Book of Optimal Search for Moving Targets PDF

Optimal Search for Moving Targets
  • Author : Lawrence D. Stone
  • Release : 06 April 2016
  • Publisher : Springer
  • ISBN : 9783319268996
  • Genre : Business & Economics
  • Total Page : 222 pages
  • Language : English
  • PDF File Size : 20,8 Mb

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Optimal Search for Moving Targets

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