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

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

ISBN-10:
1493946595
ISBN-13:
9781493946594
Pub. Date:
08/23/2016
Publisher:
Springer New York
ISBN-10:
1493946595
ISBN-13:
9781493946594
Pub. Date:
08/23/2016
Publisher:
Springer New York
Modeling and Optimization: Theory and Applications: Selected Contributions from the MOPTA 2012 Conference

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.


Product Details

ISBN-13: 9781493946594
Publisher: Springer New York
Publication date: 08/23/2016
Series: Springer Proceedings in Mathematics & Statistics , #62
Edition description: Softcover reprint of the original 1st ed. 2013
Pages: 136
Product dimensions: 6.10(w) x 9.25(h) x 0.01(d)

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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