Over the past few years, the field of scheduling has changed dramatically because of the complexity of the problems now involved. This has led many researchers to develop approximation algorithms that can handle these more difficult kinds of scheduling problems. This in turn has resulted in enormous growth of the field and a wide body of knowledge that has never been pulled together into one volume-until now. Handbook of Scheduling: Algorithms, Models, and Performance Analysis collects all of the up-to-date information on approximation algorithms into one resource that will prove useful to a wide range of users from computer science, industrial engineering, operations research, and management science.

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