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"This monograph provides an introduction to the state of the art of the probability theory that is most directly applicable to combinatorial optimization. The questions that receive the most attention are those that deal with discrete optimization problems for points in Euclidean space, such as the minimum spanning tree, the traveling-salesman tour, and minimal-length matchings. Still, there are several nongeometric optimization problems that receive full treatment, and these include the problems of the longest common subsequence and the longest increasing subsequence. The philosophy that guides the exposition is that analysis of concrete problems is the most effective way to explain even the most general methods or abstract principles."

"Provides a comprehensive introduction to the mathematical theory of probability. This text also covers its application to the modeling of random phenomena encountered in electrical and computer engineering, and its uses in making optimal decisions and inferences. It addresses both conceptual mathematical methods and their real-world applications"