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Optimal decision making in operations research and statistics / editors, Irfan Ali, Leopoldo Eduardo Cárdenas-Barrón, Aquil Ahmed, Ali Akbar Shaikh.

Contributor(s): Material type: TextPublisher: Boca Raton, FL : CRC Press, Taylor & Francis Group, [2021]Edition: First. editionDescription: v, 427 : illustrations (soome color) ; 29 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780367618759
Subject(s): DDC classification:
  • 003 CRC  23
LOC classification:
  • T57.95 .O67 2021
Incomplete contents:
vol. 1. Methodologies and appliations
Summary: "The book provides insights in the decision-making for implementing strategies in various spheres of real-world issues. It integrates optimal policies in various decision-making problems and serves as a reference for researchers and industrial practitioners. Furthermore, the book provides sound knowledge of modelling of real-world problems and solution procedure using the various optimizations and statistical techniques for making optimal decisions. The book is meant for teachers, students, researchers and industrialists who are working in the field of materials science, especially operations research and applied statistics"-- Provided by publisher.
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Holdings
Item type Current library Shelving location Call number Copy number Status Barcode
Books CamTech Library General Collections 003 CRC (Browse shelf(Opens below)) C.1 Available 0000001219

Includes bibliographical references and index.

vol. 1. Methodologies and appliations

"The book provides insights in the decision-making for implementing strategies in various spheres of real-world issues. It integrates optimal policies in various decision-making problems and serves as a reference for researchers and industrial practitioners. Furthermore, the book provides sound knowledge of modelling of real-world problems and solution procedure using the various optimizations and statistical techniques for making optimal decisions. The book is meant for teachers, students, researchers and industrialists who are working in the field of materials science, especially operations research and applied statistics"-- Provided by publisher.

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