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Ramteen Sioshansi

Optimization in Engineering

Models and Algorithms

Ebook (PDF Format)

This textbook covers the fundamentals of optimization, including linear, mixed-integer linear, nonlinear, and dynamic optimization techniques, with a clear engineering focus. It carefully describes classical optimization models and algorithms using an engineering problem-solving perspective, and emphasizes modeling issues using many real-world examples related to a variety of application areas. Providing an appropriate blend of practical applications and optimization theory makes the text useful to both practitioners and students, and gives the reader a good sense of the power of optimization and the potential difficulties in applying optimiz… Mehr

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Produktdetails


Weitere Autoren: Conejo, Antonio J.
  • ISBN: 978-3-319-56769-3
  • EAN: 9783319567693
  • Produktnummer: 33312542
  • Verlag: Springer-Verlag GmbH
  • Sprache: Englisch
  • Erscheinungsjahr: 2017
  • Seitenangabe: 412 S.
  • Plattform: PDF
  • Masse: 7'339 KB
  • Abbildungen: 45 schwarz-weiße und 26 farbige Abbildungen, 34 farbige Tabellen, Bibliographie
  • Reihenbandnummer: 120

Über den Autor


Ramteen Sioshansi is an associate professor in the Department of Integrated Systems Engineering at The Ohio State University. He holds a B.A., M.S., and Ph.D. from the University of California, Berkeley and an M.Sc. from the London School of Economics and Political Science. He has published over 50 peer-reviewed journals and has been the principal investigator of many research projects sponsored by public agencies and private industry. Antonio J. Conejo, professor at The Ohio State University, OH, US, received the B.S from Univ. P. Comillas, Spain, the M.S. from MIT, US and the Ph.D. from the Royal Institute of Technology, Sweden. He has published over 190 papers in SCI journals and is the author or coauthor of books published by Springer, John Wiley, McGraw-Hill and CRC. He has been the principal investigator of many research projects financed by public agencies and the power industry and has supervised 19 PhD theses. He is an IEEE Fellow.

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