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Introduction to Linear Optimization and Extensions with MATLAB/ Roy H.Kwon

By: Material type: TextTextPublication details: New York: CRC Press, 2014.Description: xviii,343pISBN:
  • 9781439862636
Subject(s): DDC classification:
  • 519.72  KWO/I
Summary: This introductory book on linear programming discusses important ways to mitigate parameter uncertainty. It includes two major ways of including parameter uncertainty: stochastic linear programming and robust linear optimization. It offers a vigorous development of linear programming theory and methods by presenting basics before theory. It also presents financial optimization case studies that consolidate the material presented within the book
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Holdings
Item type Current library Home library Call number Status Date due Barcode
Book Book Study Centre Alappuzha, University of Kerala Processing Center Study Centre Alappuzha, University of Kerala 519.72 KWO/I (Browse shelf(Opens below)) Not For Loan USCA5529


This introductory book on linear programming discusses important ways to mitigate parameter uncertainty. It includes two major ways of including parameter uncertainty: stochastic linear programming and robust linear optimization. It offers a vigorous development of linear programming theory and methods by presenting basics before theory. It also presents financial optimization case studies that consolidate the material presented within the book

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