Modeling and Optimization: Theory and Applications: Selected Contributions from the MOPTA 2012 Conference
Author:   Luis F. Zuluaga ,  Tamás Terlaky
Publisher:   Springer-Verlag New York Inc.
Edition:   2013 ed.
Volume:   62
ISBN:  

9781461489863


Pages:   136
Publication Date:   23 November 2013
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Modeling and Optimization: Theory and Applications: Selected Contributions from the MOPTA 2012 Conference


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Overview

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.

Full Product Details

Author:   Luis F. Zuluaga ,  Tamás Terlaky
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2013 ed.
Volume:   62
Dimensions:   Width: 15.50cm , Height: 1.00cm , Length: 23.50cm
Weight:   3.435kg
ISBN:  

9781461489863


ISBN 10:   1461489865
Pages:   136
Publication Date:   23 November 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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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