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Modeling and Optimization: Theory and Applications

  • Kartonierter Einband
  • 172 Seiten
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This volume contains a selection of contributions that were presented at the Modeling and Optimization: Theory and Applications Co... Weiterlesen
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Beschreibung

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.



Selected contributions from a group of leading experts

Synthesis of recent developments in classical and emerging areas of optimization in engineering

Brings together modeling and optimization in an interdisciplinary fashion



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

Produktinformationen

Titel: Modeling and Optimization: Theory and Applications
Untertitel: MOPTA, Bethlehem, PA, USA, August 2016 Selected Contributions
Editor:
EAN: 9783319882857
ISBN: 3319882856
Format: Kartonierter Einband
Herausgeber: Springer International Publishing
Anzahl Seiten: 172
Gewicht: 271g
Größe: H235mm x B155mm x T9mm
Jahr: 2018
Untertitel: Englisch
Auflage: Softcover reprint of the original 1st ed. 2017

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