On the Optimal Search for a Target Whose Motion is Conditionally Deterministic with Stochastic Initial Conditions on Location and Parameters

A target moves in Euclidean n-space $R^n $ according to some probabilistic law. A search density, which accumulates on the target during its route, determines the probability of detection. A necessary and sufficient condition for the search density to be optimal is obtained.