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Operations research : an introduction / Hamdy A. Taha.

By: Taha, Hamdy A [author.]Material type: TextTextPublisher: Harlow, England : Pearson, [2017]Copyright date: ©2017Edition: 10th editionDescription: 843 pages : illustrations (black and white) ; 24 cmContent type: text | still image Media type: unmediated Carrier type: volumeISBN: 9781292165547 (pbk.) :Subject(s): Operations research | Business and Management | Business and ManagementDDC classification: 658.4'034 Summary: 'Operations Research' provides a broad focus on algorithmic and practical implementation of Operations Research (OR) techniques, using theory, applications, and computations to teach students OR basics. The book can be used conveniently in a survey course that encompasses all the major tools of operations research, or in two separate courses on deterministic and probabilistic decision-making. The author preserves classical algorithms by providing essential hand computational algorithms as an important part of OR history.
Holdings
Item type Current library Home library Shelving location Class number Status Date due Barcode Item reservations
Book Book Paul Hamlyn Library Paul Hamlyn Library Floor 3 658.4034 TAH (Browse shelf(Opens below)) Available 06645445
Book Book Paul Hamlyn Library Paul Hamlyn Library Floor 3 658.4034 TAH (Browse shelf(Opens below)) Available 06645453
Book Book Paul Hamlyn Library Paul Hamlyn Library Floor 3 658.4034 TAH (Browse shelf(Opens below)) Available 06591795
Book Book Paul Hamlyn Library Paul Hamlyn Library Floor 3 658.4034 TAH (Browse shelf(Opens below)) Available 06591809
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Previous edition: 2011.

Includes Internet access.

Text on inside cover.

Includes index.

'Operations Research' provides a broad focus on algorithmic and practical implementation of Operations Research (OR) techniques, using theory, applications, and computations to teach students OR basics. The book can be used conveniently in a survey course that encompasses all the major tools of operations research, or in two separate courses on deterministic and probabilistic decision-making. The author preserves classical algorithms by providing essential hand computational algorithms as an important part of OR history.

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