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Zuluaga / Terlaky

Modeling and Optimization: Theory and Applications

Selected Contributions from the Mopta 2012 Conference

Medium: Buch
ISBN: 978-1-4939-4659-4
Verlag: Springer
Erscheinungstermin: 23.08.2016
Lieferfrist: bis zu 10 Tage

This volume contains a selection of contributions that were presented at the Modeling and Optimization: Theory and Applications Conference (MOPTA) held at Lehigh University in Bethlehem, Pennsylvania, USA on July 30-August 1, 2012. The conference brought together a diverse group of researchers and practitioners, working on both theoretical and practical aspects of continuous or discrete optimization. Topics presented included algorithms for solving convex, network, mixed-integer, nonlinear, and global optimization problems, and addressed the application of optimization techniques in finance, logistics, health, and other important fields. The contributions contained in this volume represent a sample of these topics and applications and illustrate the broad diversity of ideas discussed at the meeting.


Produkteigenschaften


  • Artikelnummer: 9781493946594
  • Medium: Buch
  • ISBN: 978-1-4939-4659-4
  • Verlag: Springer
  • Erscheinungstermin: 23.08.2016
  • Sprache(n): Englisch
  • Auflage: Softcover Nachdruck of the Original 1. 2013 Auflage 2016
  • Serie: Springer Proceedings in Mathematics & Statistics
  • Produktform: Kartoniert, Previously published in hardcover
  • Gewicht: 2292 g
  • Seiten: 136
  • Format (B x H x T): 156 x 234 x 8 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

Preface.- 1. M. F. Anjos, Recent Progress in Modeling Unit Commitment Problems.- 2. M. A. Lejeune, Portfolio Optimization with Combinatorial and Downside Return Constraints.- 3. R. R. Regis, An Initialization Strategy for High-Dimensional Surrogate-Based Expensive Black Box Optimization.- 4. H. Y. Benson; U. Saglam, Smoothing and Regularization for Mixed-Integer Second-Order Cone Programming with Application in Portfolio Optimization.- 5. T. Terlaky; D. Li, The Duality between the Perceptron Algorithm and the von Neumann Algorithm.