Modeling and Optimization: Theory and Applications (eBook, PDF)
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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 and stochastic optimization…mehr

Produktbeschreibung
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 and
stochastic 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.

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  • Produktdetails
  • Verlag: Springer-Verlag GmbH
  • Erscheinungstermin: 14.02.2019
  • Englisch
  • ISBN-13: 9783030121198
  • Artikelnr.: 55262621
Inhaltsangabe
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.