Modeling and Optimization: Theory and Applications

MOPTA, Bethlehem, PA, USA, August 2017, Selected Contributions
1. Auflage 2019
ISBN: 978-3-030-12118-1
Verlag: Springer International Publishing

Buch, Englisch, Band 279, 192 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 471 g

Reihe: Springer Proceedings in Mathematics & Statistics

This book features a selection of contributions that were presented at the Modeling and Optimization: Theory and Applications Conference (MOPTA) held at Lehigh University in B ethlehem, Pennsylvania, USA between August 16-18, 2017. The conference brought together a diverse group of researchers and practitioners working on both theoretical and practical aspects of continuous and discrete optimization. Topics covered include algorithms for solving convex, network, mixed-integer, nonlinear, and global optimization problems, and address the application of deterministic andstochastic optimization techniques in energy, finance, logistics, analytics, health, and other important fields. The selected contributions in this book illustrate the broad diversity of ideas discussed at the meeting.

Zielgruppe

Research

Autoren/Hrsg.

Terlaky, Tamás

Pintér, János D.

Fachgebiete

• Mathematik | Informatik Mathematik Operations Research
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle

Inhaltsverzeichnis

Cojocaru, M. G., Thommes, E. W., and Gillies, S: A Model of Residential Mail Delivery by Drones.- Defourny, B. and Tu, S: On the Value of Dual-Firing Power Generation under Uncertain Gas Network Access.- Fasano, G. and Pintér, J. D: Efficient Piecewise Linearization for a Class of Non-convex Optimization Problems: Comparative Results and Extensions.- Fercoq, O. and Richtárik, P: Smooth Minimization of Non-smooth Functions with Parallel Coordinate Descent Methods.- Góez, J. C. and Anjos, M. F: Second Order Conic Optimization Formulations for Service System Design Problems with Congestion.- Mut, M. and Terlaky, T: The Iteration-Complexity Upper Bound for the Mizuno-Todd-Ye Predictor-Corrector Algorithm is Tight.- Pirhooshyaran, M. and Snyder, L. V: Optimization of Inventory and Distribution for Hip and Knee Joint Replacements via Multistage Stochastic Programming.- Takác, M., Ahipasaoglu, S. D., Cheung, N., and Richtárik, P: TopSpin: TOPic discovery via Sparse Principal component Interference.- Wang, F.: Exact Optimal Solution to Nonseparable Concave Quadratic Integer Programming Problems.