Takáč, Martin
Modeling and Optimization: Theory and Applications
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
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
Elspeth Adams, Miguel F. Anjos
9. Univariate Polynomial Optimization with Sum-of-Squares Interpolants
Dávid Papp
Nyckelord: Mathematics, Operations Research, Management Science, Continuous Optimization, Discrete Optimization
- Utgivare
- Takáč, Martin
- Terlaky, Tamás
- Utgivare
- Springer
- Utgivningsår
- 2017
- Språk
- en
- Utgåva
- 1
- Serie
- Springer Proceedings in Mathematics & Statistics
- Sidantal
- 7 sidor
- Kategori
- Naturvetenskaper
- Format
- E-bok
- eISBN (PDF)
- 9783319666167
- Tryckt ISBN
- 978-3-319-66615-0