Modeling and Optimization: Theory and Applications: MOPTA, Bethlehem, PA, USA, August 2014 Selected Contributions
Author:   Boris Defourny ,  Tamás Terlaky
Publisher:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2015
Volume:   147
ISBN:  

9783319372556


Pages:   123
Publication Date:   23 August 2016
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Modeling and Optimization: Theory and Applications: MOPTA, Bethlehem, PA, USA, August 2014 Selected Contributions


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Overview

​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 13-15, 2014. 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, healthcare, 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.

Full Product Details

Author:   Boris Defourny ,  Tamás Terlaky
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2015
Volume:   147
Weight:   2.423kg
ISBN:  

9783319372556


ISBN 10:   3319372556
Pages:   123
Publication Date:   23 August 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Approximate Bayesian inference for simulation and optimization (Ilya Ryzhov).- Optimization for Power Systems and the Smart Grid (Miguel Anjos).- Semidefinite Approaches for MIQCP: Convex Relaxations and Practical Methods (Hongbo Dong and Nathan Krislock).- A few strong knapsack facets (Sunil Chopra, Sangho Shim and Daniel E. Steffy).- On the Performance of SQP Methods for Nonlinear Optimization (Philip E. Gill, Michael A. Saunders and Elizabeth Wong).

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