Modeling and Optimization: Theory and Applications
Editat de Luis F Zuluaga, Tamás Terlakyen Limba Engleză Paperback – 23 aug 2016
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Specificații
ISBN-13: 9781493946594
ISBN-10: 1493946595
Pagini: 136
Ilustrații: VII, 136 p. 10 illus.
Dimensiuni: 156 x 234 x 8 mm
Greutate: 0.21 kg
Ediția:Softcover Reprint of the Original 1st 2013 edition
Editura: Springer
Locul publicării:New York, NY, United States
ISBN-10: 1493946595
Pagini: 136
Ilustrații: VII, 136 p. 10 illus.
Dimensiuni: 156 x 234 x 8 mm
Greutate: 0.21 kg
Ediția:Softcover Reprint of the Original 1st 2013 edition
Editura: Springer
Locul publicării:New York, NY, United States
Cuprins
Preface.- 1. M. F. Anjos, Recent Progress in Modeling Unit Commitment Problems.- 2. M. A. Lejeune, Portfolio Optimization with Combinatorial and Downside Return Constraints.- 3. R. R. Regis, An Initialization Strategy for High-Dimensional Surrogate-Based Expensive Black Box Optimization.- 4. H. Y. Benson; U. Saglam, Smoothing and Regularization for Mixed-Integer Second-Order Cone Programming with Application in Portfolio Optimization.- 5. T. Terlaky; D. Li, The Duality between the Perceptron Algorithm and the von Neumann Algorithm.
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 July 30-August 1, 2012. 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 optimization techniques in finance, logistics, health, 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
Explores new ideas in continuous and discrete optimization Brings together key researchers from different fields and backgrounds Offers an interdisciplinary look at the topic from many angles ? Includes supplementary material: sn.pub/extras