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Decision optimization with IBM ILOG CPLEX optimization studio: a hands-on introduction to modeling with the optimization programming language (OPL)

By: Contributor(s): Material type: TextTextSeries: Graduate texts in operations researchPublication details: Springer Switzerland 2022Description: xiii, 281 pISBN:
  • 9783662654804
Subject(s): DDC classification:
  • 658.4038011 NIC
Summary: This textbook offers a comprehensive, up-to-date introduction to the Optimization Programming Language (OPL). Embedded in the IBM ILOG CPLEX Optimization Studio with its solver engine CPLEX, OPL has been popular for years not only for academic and scientific purposes, but also among practitioners who need to model and solve large-scale real-world business optimization problems. The book covers the recent features of the software and includes ten consecutive tutorials, each with additional exercises, as well as several comprehensive application studies. The book is specifically designed for advanced undergraduate and graduate courses in e.g. management science, operations research, computer science, mathematics, mathematical economics, and industrial engineering. It can also serve as self-study material for practitioners whose work involves the modeling and optimization of planning and decision problems and who need a sound introduction to the software.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
Book Book Bodh Gaya General Stacks IT&DS 658.4038011 NIC (Browse shelf(Opens below)) 1 Available IIMG-004643
Total holds: 0

This textbook offers a comprehensive, up-to-date introduction to the Optimization Programming Language (OPL). Embedded in the IBM ILOG CPLEX Optimization Studio with its solver engine CPLEX, OPL has been popular for years not only for academic and scientific purposes, but also among practitioners who need to model and solve large-scale real-world business optimization problems. The book covers the recent features of the software and includes ten consecutive tutorials, each with additional exercises, as well as several comprehensive application studies. The book is specifically designed for advanced undergraduate and graduate courses in e.g. management science, operations research, computer science, mathematics, mathematical economics, and industrial engineering. It can also serve as self-study material for practitioners whose work involves the modeling and optimization of planning and decision problems and who need a sound introduction to the software.

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