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  • © 2004

Introductory Lectures on Convex Optimization

A Basic Course

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Part of the book series: Applied Optimization (APOP, volume 87)

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Table of contents (4 chapters)

  1. Front Matter

    Pages i-xviii
  2. Nonlinear Optimization

    • Yurii Nesterov
    Pages 1-50
  3. Smooth Convex Optimization

    • Yurii Nesterov
    Pages 51-110
  4. Nonsmooth Convex Optimization

    • Yurii Nesterov
    Pages 111-170
  5. Structural Optimization

    • Yurii Nesterov
    Pages 171-230
  6. Back Matter

    Pages 231-236

About this book

It was in the middle of the 1980s, when the seminal paper by Kar­ markar opened a new epoch in nonlinear optimization. The importance of this paper, containing a new polynomial-time algorithm for linear op­ timization problems, was not only in its complexity bound. At that time, the most surprising feature of this algorithm was that the theoretical pre­ diction of its high efficiency was supported by excellent computational results. This unusual fact dramatically changed the style and direc­ tions of the research in nonlinear optimization. Thereafter it became more and more common that the new methods were provided with a complexity analysis, which was considered a better justification of their efficiency than computational experiments. In a new rapidly develop­ ing field, which got the name "polynomial-time interior-point methods", such a justification was obligatory. Afteralmost fifteen years of intensive research, the main results of this development started to appear in monographs[12, 14, 16, 17, 18, 19]. Approximately at that time the author was asked to prepare a new course on nonlinear optimization for graduate students. The idea was to create a course which would reflect the new developments in the field. Actually, this was a major challenge. At the time only the theory of interior-point methods for linear optimization was polished enough to be explained to students. The general theory of self-concordant functions had appeared in print only once in the form of research monograph [12].

Authors and Affiliations

  • Center of Operations Research and Econometrics, (CORE), Université Catholique de Louvain (UCL), Louvain-la-Neuve, Belgium

    Yurii Nesterov

Bibliographic Information

  • Book Title: Introductory Lectures on Convex Optimization

  • Book Subtitle: A Basic Course

  • Authors: Yurii Nesterov

  • Series Title: Applied Optimization

  • DOI: https://doi.org/10.1007/978-1-4419-8853-9

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 2004

  • Hardcover ISBN: 978-1-4020-7553-7Published: 31 December 2003

  • eBook ISBN: 978-1-4419-8853-9Published: 01 December 2013

  • Series ISSN: 1384-6485

  • Edition Number: 1

  • Number of Pages: XVIII, 236

  • Topics: Optimization, Theory of Computation

Buy it now

Buying options

eBook USD 149.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access