Optimal searching for a randomly located target in a bounded known region (Q2224039)

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Optimal searching for a randomly located target in a bounded known region
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    Optimal searching for a randomly located target in a bounded known region (English)
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    3 February 2021
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    Summary: This paper addresses the problem of searching for a randomly located target in a bounded known region by a single searcher. The searcher wishes to find the target's position, that is given by the value of the two independent double truncated random variables \((X;Y)\) and they have joint symmetric probability density function \(f(x;y)\). It is desired to search in an optimal manner to minimise the expected value of the time for detecting the target, assuming double truncated circular normal distributed estimates of its position.
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    optimal search path
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    double truncated circular normal distribution
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    nonlinear optimisation
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    randomly located targets
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    bounded known regions
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    probability density function
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