Business Optimization Using Mathematical Programming

Josef Kallrath ()
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Josef Kallrath: University of Florida

in International Series in Operations Research and Management Science from Springer, currently edited by Camille C. Price, Joe Zhu and Frederick S. Hillier

Date: 2021
Edition: 2nd ed. 2021
ISBN: 978-3-030-73237-0
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Chapters in this book:

Ch Chapter 1 Optimization: Using Models, Validating Models, Solutions, Answers

Josef Kallrath

Ch Chapter 10 How Optimization Is Used in Practice: Case Studies in Integer Programming

Josef Kallrath

Ch Chapter 11 Beyond LP and MILP Problems ⊖

Josef Kallrath

Ch Chapter 12 Mathematical Solution Techniques — The Nonlinear World

Josef Kallrath

Ch Chapter 13 Global Optimization in Practice

Josef Kallrath

Ch Chapter 14 Polylithic Modeling and Solution Approaches

Josef Kallrath

Ch Chapter 15 Cutting and Packing Beyond and Within Mathematical Programming

Josef Kallrath

Ch Chapter 16 The Impact and Implications of Optimization

Josef Kallrath

Ch Chapter 17 Concluding Remarks and Outlook

Josef Kallrath

Ch Chapter 2 From the Problem to its Mathematical Formulation

Josef Kallrath

Ch Chapter 3 Mathematical Solution Techniques

Josef Kallrath

Ch Chapter 4 Problems Solvable Using Linear Programming

Josef Kallrath

Ch Chapter 5 How Optimization Is Used in Practice: Case Studies in Linear Programming

Josef Kallrath

Ch Chapter 6 Modeling Structures Using Mixed Integer Programming

Josef Kallrath

Ch Chapter 7 Types of Mixed Integer Linear Programming Problems

Josef Kallrath

Ch Chapter 8 Case Studies and Problem Formulations

Josef Kallrath

Ch Chapter 9 User Control of the Optimization Process and Improving Efficiency

Josef Kallrath

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DOI: 10.1007/978-3-030-73237-0

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