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Springer Optimal Stochastic Scheduling - Operations Research 207

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Description

Optimal Stochastic Scheduling (International Series in Operations Research & Management Science, 207) provides a deep look into the mathematical models used in scheduling. This Springer publication covers elementary models and results while presenting recent developments and research topics in the field. As a comprehensive resource, it serves as a bridge between foundational knowledge and advanced research. The text is structured to be useful for several levels of academic and professional study. It functions as organized reading material for graduate and postgraduate students seeking to understand the core principles of stochastic scheduling. For researchers, this book acts as a strong starting point for further literature research. By combining summaries of basic models with detailed discussions on complex, modern topics, it offers a complete overview of the current landscape in operations research and management science.

Key Features

Covers elementary models and results in stochastic scheduling to build a strong foundational understanding of the subject.

Presents the latest research topics and developments to keep readers updated on current trends in the field.

Designed as organized reading material suitable for both graduate and postgraduate students in management science.

Serves as a starting point for researchers to conduct further literature research in operations research.

Part of the International Series in Operations Research & Management Science (Volume 207) by Springer.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
03 September 2016
Listed Since
25 August 2016

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