Pyomo - Optimization Modeling in Python
This book provides a complete and comprehensive guide to Pyomo (Python Optimization Modeling Objects) for beginning and advanced modelers, including students at the undergraduate and graduate levels, academic researchers, and practitioners. Using many examples to illustrate the different techniques useful for formulating models, this text beautifully elucidates the breadth of modeling capabilities that are supported by Pyomo and its handling of complex real-world applications. In the third edition, much of the material has been reorganized, new examples have been added, and a new chapter has been added describing how modelers can improve the…
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Produktdetails
Weitere Autoren: Hackebeil, Gabriel A. / Hart, William E. / Woodruff, David L. / Nicholson, Bethany L. / Siirola, John D. / Watson, Jean-Paul / Laird, Carl D.
- ISBN: 978-3-030-68930-8
- EAN: 9783030689308
- Produktnummer: 38643231
- Verlag: Springer International Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2022
- Seitenangabe: 244 S.
- Masse: H23.5 cm x B15.5 cm x D1.3 cm 376 g
- Auflage: 3rd ed. 2021
- Abbildungen: Paperback
- Reihenbandnummer: 67
- Gewicht: 376
Über den Autor
William E. Hart, Carl D. Laird, Bethany L. Nicholson, John D. Siirola, and Michael L. Bynum are researchers affiliated with the Sandia National Laboratories in Albuquerque, New Mexico. Jean-Paul Watson is a researcher with the Lawrence Livermore Laboratory. David L. Woodruff is professor at the graduate school of management at the University of California, Davis. Gabriel Hackebeil is affiliated with Deepfield Nokia, Ann Arbor, MI. The 2019 INFORMS Computing Society prize was awarded to William E. Hart, Carl D. Laird, Jean-Paul Watson, David L. Woodruff, Gabriel A. Hackebeil, Bethany L. Nicholson and John Siirola for spearheading the creation and advancement of Pyomo, an open-source software package for modeling and solving mathematical programs in Python.
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