Business Optimization Using Mathematical Programming

Josef Kallrath (josef.kallrath@web.de)
Additional contact information
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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Citations: View citations in EconPapers (2)

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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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