Probabilistic Search for Tracking Targets - Theory and Modern Applications

This text looks at search algorithms that are applicable in various practical settings.

With the implementation of suitable data structures and metrics within the suggested search algorithms, the book presents a unified framework to demonstrate immediate merits and applications.

It also looks at applying information theory to search models and algorithms on graphs that can be represented by Markov decision processes and demonstrates that such an approach can lead to the construction of optimal search plans and policies.