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Modeling and Optimization: Theory and Applications: Springer Proceedings in Mathematics & Statistics, cartea 147

Editat de Boris Defourny, Tamás Terlaky
en Limba Engleză Hardback – 11 noi 2015
​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.
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Specificații

ISBN-13: 9783319236988
ISBN-10: 3319236989
Pagini: 136
Ilustrații: IX, 123 p. 9 illus., 3 illus. in color.
Dimensiuni: 160 x 241 x 13 mm
Greutate: 0.4 kg
Ediția:1st edition 2015
Editura: Springer
Colecția Springer Proceedings in Mathematics & Statistics
Seria Springer Proceedings in Mathematics & Statistics

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

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).

Textul de pe ultima copertă

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.

Caracteristici

Selected contributions from a group of leading experts Synthesis of recent developments in classical and emerging areas of optimization in engineering Brings together modeling and optimization in an interdisciplinary fashion?