Lecture Notes in Mathematics

Large-Scale and Distributed Optimization

Editors: Giselsson, Pontus, Rantzer, Anders (Eds.)

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  • Contributes to current and upcoming research on large-scale and distributed optimization
  • Covers the increasingly important tools and methods for large-scale optimization
  • Offers a valuable source of information to both researchers and students
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eBook 44,02 €
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  • ISBN 978-3-319-97478-1
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About this book

This book presents tools and methods for large-scale and distributed optimization. Since many methods in "Big Data" fields rely on solving large-scale optimization problems, often in distributed fashion, this topic has over the last decade emerged to become very important. As well as specific coverage of this active research field, the book serves as a powerful source of information for practitioners as well as theoreticians.
Large-Scale and Distributed Optimization is a unique combination of contributions from leading experts in the field, who were speakers at the LCCC Focus Period on Large-Scale and Distributed Optimization, held in Lund, 14th–16th June 2017. A source of information and innovative ideas for current and future research, this book will appeal to researchers, academics, and students who are interested in large-scale optimization.

About the authors

Pontus Giselsson is an Associate Professor at the Department of Automatic Control at Lund University, Sweden. His current research interests include mathematical optimization and its applications in, e.g., control, signal processing, and machine learning. He received a M.Sc. degree from Lund University in 2006 and a Ph.D. degree from Lund University in 2012. During 2013 and 2014, he was a postdoc at Stanford University. In 2012, he received the Young Author Price at an IFAC Symposium, in 2013 he was a finalist for the Best Student Paper Award at the American Control Conference, in 2014 he received the Young Author Price at the IFAC World Congress, and in 2015 he received the Ingvar Carlsson Award from the Swedish Foundation for Strategic Research.

Anders Rantzer received a PhD in 1991 from KTH, Stockholm, Sweden. After postdoctoral positions at KTH and at IMA, University of Minnesota, he joined Lund University in 1993 and was appointed professor of Automatic Control in 1999. The academic year of 2004/05 he was visiting associate faculty member at Caltech and 2015/16 he was Taylor Family Distinguished Visiting Professor at University of Minnesota. Since 2008 he coordinates the Linnaeus center LCCC at Lund University. Rantzer has been associate editor of IEEE Transactions on Automatic Control and several other journals. He is a winner of the SIAM Student Paper Competition, the IFAC Congress Young Author Price and the IET Premium Award for the best article in IEE Proceedings - Control Theory & Applications during 2006. He is a Fellow of IEEE and a member of the Royal Swedish Academy of Engineering Sciences. For the period 2013-15 he was also chairman of the Swedish Scientific Council for Natural and Engineering Sciences. His research interests are in modeling, analysis and synthesis of control systems, with particular attention to uncertainty, optimization and distributed control.

Table of contents (13 chapters)

  • Large-Scale and Distributed Optimization: An Introduction

    Giselsson, Pontus (et al.)

    Pages 1-10

    Preview Buy Chapter 30,19 €
  • Exploiting Chordality in Optimization Algorithms for Model Predictive Control

    Hansson, Anders (et al.)

    Pages 11-32

    Preview Buy Chapter 30,19 €
  • Decomposition Methods for Large-Scale Semidefinite Programs with Chordal Aggregate Sparsity and Partial Orthogonality

    Zheng, Yang (et al.)

    Pages 33-55

    Preview Buy Chapter 30,19 €
  • Smoothing Alternating Direction Methods for Fully Nonsmooth Constrained Convex Optimization

    Tran-Dinh, Quoc (et al.)

    Pages 57-95

    Preview Buy Chapter 30,19 €
  • Primal-Dual Proximal Algorithms for Structured Convex Optimization: A Unifying Framework

    Latafat, Puya (et al.)

    Pages 97-120

    Preview Buy Chapter 30,19 €

Buy this book

eBook 44,02 €
price for Spain (gross)
  • ISBN 978-3-319-97478-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 57,19 €
price for Spain (gross)
  • ISBN 978-3-319-97477-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Large-Scale and Distributed Optimization
Editors
  • Pontus Giselsson
  • Anders Rantzer
Series Title
Lecture Notes in Mathematics
Series Volume
2227
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-319-97478-1
DOI
10.1007/978-3-319-97478-1
Softcover ISBN
978-3-319-97477-4
Series ISSN
0075-8434
Edition Number
1
Number of Pages
XIII, 412
Number of Illustrations
9 b/w illustrations, 33 illustrations in colour
Topics