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Modeling and Optimization: Theory and Applications

MOPTA, Bethlehem, PA, USA, August 2016 Selected Contributions

Paperback Engels 2018 9783319882857
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Samenvatting

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.

Specificaties

ISBN13:9783319882857
Taal:Engels
Bindwijze:paperback
Uitgever:Springer International Publishing

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Inhoudsopgave

<div>Stochastic Decision Problems with Multiple Risk-averse&nbsp;Agents (Getachew K. Befekadu, Alexander Veremyev, Vladimir Boginski,&nbsp;Eduardo L. Pasiliao).-&nbsp;Optimal Packing of General Ellipses in a Circle (Frank J. Kampas, János D. Pintér, Ignacio Castillo).-&nbsp;Column Generation Approach to the Convex&nbsp;Recoloring Problem on a Tree (Sunil Chopra, Ergin Erdem, Eunseok Kim, Sangho Shim).-&nbsp;A Variational Inequality Formulation of a&nbsp;Migration Model with Random Data (Baasansuren Jadamba, Fabio Raciti).-&nbsp;Identification in Mixed Variational Problems by&nbsp;Adjoint Methods with Applications (M. Cho, B. Jadamba, A. A. Khan, A. A. Oberai, M. Sama).-&nbsp;Minimization of the&nbsp;L<sub>p</sub>-norm,&nbsp;p ≥&nbsp; 1 of&nbsp;Dirichlet-type Boundary Controls for the 1D Wave Equation (Ilya Smirnov,&nbsp;Anastasia Dmitrieva).-&nbsp;Projected Semi-Stochastic Gradient Descent&nbsp;Method with Mini-Batch Scheme under Weak&nbsp;Strong Convexity Assumption (JieLiu and Martin Takáč).-&nbsp;Exact Separation of k-Projection Polytope&nbsp;Constraints (Elspeth Adams, Miguel F. Anjos).-&nbsp;Univariate Polynomial Optimization with Sum-of-Squares Interpolants (Dávid Papp).</div><p></p>

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