Fr. 135.00

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

English · Paperback / Softback

Shipping usually within 6 to 7 weeks

Description

Read more

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.

List of contents

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 Lp-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 (JieLiu and Martin Takác).- Exact Separation of k-Projection Polytope Constraints (Elspeth Adams, Miguel F. Anjos).- Univariate Polynomial Optimization with Sum-of-Squares Interpolants (Dávid Papp).

Summary

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.

Product details

Assisted by Marti Takác (Editor), Martin Takác (Editor), Martin Takáč (Editor), Terlaky (Editor), Terlaky (Editor), Tamás Terlaky (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 01.01.2018
 
EAN 9783319882857
ISBN 978-3-31-988285-7
No. of pages 162
Dimensions 155 mm x 9 mm x 235 mm
Weight 273 g
Illustrations VII, 162 p. 15 illus., 14 illus. in color.
Series Springer Proceedings in Mathematics & Statistics
Subjects Natural sciences, medicine, IT, technology > Mathematics > Miscellaneous

Operations Research, C, Optimization, Mathematics and Statistics, Management & management techniques, Operations Research, Management Science, Management science, Mathematical optimization, Continuous Optimization, Discrete Optimization

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.