Modeling and Optimization: Theory and Applications

Modeling and Optimization: Theory and Applications : Selected Contributions from the MOPTA 2012 Conference

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Description

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.
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Product details

  • Hardback | 136 pages
  • 155 x 235 x 9.65mm | 3,435g
  • New York, NY, United States
  • English
  • 2013 ed.
  • 10 Illustrations, black and white; VII, 136 p. 10 illus.
  • 1461489865
  • 9781461489863

Back cover copy

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.
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Table of contents

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.
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