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Takáč, Martin

Modeling and Optimization: Theory and Applications

Takáč, Martin - Modeling and Optimization: Theory and Applications, ebook

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ISBN: 9783319666167
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Table of contents

1. Stochastic Decision Problems with Multiple Risk-Averse Agents
Getachew K. Befekadu, Alexander Veremyev, Vladimir Boginski, Eduardo L. Pasiliao

2. Optimal Packing of General Ellipses in a Circle
Frank J. Kampas, János D. Pintér, Ignacio Castillo

3. Column Generation Approach to the Convex Recoloring Problem on a Tree
Sunil Chopra, Ergin Erdem, Eunseok Kim, Sangho Shim

4. A Variational Inequality Formulation of a Migration Model with Random Data
Baasansuren Jadamba, Fabio Raciti

5. Identification in Mixed Variational Problems by Adjoint Methods with Applications
M. Cho, B. Jadamba, A. A. Khan, A. A. Oberai, M. Sama

6. Minimization of the L

p
-Norm,
p ≥ 1 of Dirichlet-Type Boundary Controls for the 1D Wave Equation
Ilya Smirnov, Anastasia Dmitrieva

7. Projected Semi-Stochastic Gradient Descent Method with Mini-Batch Scheme Under Weak Strong Convexity Assumption
Jie Liu, Martin Takáč

8. Exact Separation of k-Projection Polytope Constraints
Elspeth Adams, Miguel F. Anjos

9. Univariate Polynomial Optimization with Sum-of-Squares Interpolants
Dávid Papp

Keywords: Mathematics, Operations Research, Management Science, Continuous Optimization, Discrete Optimization

Editor
 
Publisher
Springer
Publication year
2017
Language
en
Edition
1
Series
Springer Proceedings in Mathematics & Statistics
Category
Natural Sciences
Format
Ebook
eISBN (PDF)
9783319666167
Printed ISBN
978-3-319-66615-0

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