ENGLISH

Modeling and Optimization: Theory and Applications: MOPTA, Bethlehem, PA, USA, August 2016 Selected Contributions

Book information

Publisher
Springer International Publishing
Year
2017
ISBN
978-3-319-66615-0, 978-3-319-66616-7
Language
english
Format
PDF
Filesize
2 MB (2175357 bytes)
Series
Springer Proceedings in Mathematics & Statistics 213
Edition
1
Pages
VII, 162\164
Time added
2017-11-21 00:00:00

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 August 17-19, 2016. 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 deterministic and stochastic optimization techniques in energy, finance, logistics, analytics, 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. Front Matter ....Pages i-vii Stochastic Decision Problems with Multiple Risk-Averse Agents (Getachew K. Befekadu, Alexander Veremyev, Vladimir Boginski, Eduardo L. Pasiliao)....Pages 1-21 Optimal Packing of General Ellipses in a Circle (Frank J. Kampas, János D. Pintér, Ignacio Castillo)....Pages 23-37 Column Generation Approach to the Convex Recoloring Problem on a Tree (Sunil Chopra, Ergin Erdem, Eunseok Kim, Sangho Shim)....Pages 39-53 A Variational Inequality Formulation of a Migration Model with Random Data (Baasansuren Jadamba, Fabio Raciti)....Pages 55-63 Identification in Mixed Variational Problems by Adjoint Methods with Applications (M. Cho, B. Jadamba, A. A. Khan, A. A. Oberai, M. Sama)....Pages 65-84 Minimization of the Lp-Norm, p ≥ 1 of Dirichlet-Type Boundary Controls for the 1D Wave Equation (Ilya Smirnov, Anastasia Dmitrieva)....Pages 85-94 Projected Semi-Stochastic Gradient Descent Method with Mini-Batch Scheme Under Weak Strong Convexity Assumption (Jie Liu, Martin Takáč)....Pages 95-117 Exact Separation of k-Projection Polytope Constraints (Elspeth Adams, Miguel F. Anjos)....Pages 119-141 Univariate Polynomial Optimization with Sum-of-Squares Interpolants (Dávid Papp)....Pages 143-162

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