Advertisement

Convex Optimization in Normed Spaces

Theory, Methods and Examples

  • Juan Peypouquet

Part of the SpringerBriefs in Optimization book series (BRIEFSOPTI)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Juan Peypouquet
    Pages 1-23
  3. Juan Peypouquet
    Pages 25-32
  4. Juan Peypouquet
    Pages 33-64
  5. Juan Peypouquet
    Pages 65-80
  6. Juan Peypouquet
    Pages 81-91
  7. Juan Peypouquet
    Pages 93-117
  8. Back Matter
    Pages 119-124

About this book

Introduction

This work is intended to serve as a guide for graduate students and researchers who wish to get acquainted with the main theoretical and practical tools for the numerical minimization of convex functions on Hilbert spaces. Therefore, it contains the main tools that are necessary to conduct independent research on the topic. It is also a concise, easy-to-follow and self-contained textbook, which may be useful for any researcher working on related fields, as well as teachers giving graduate-level courses on the topic. It will contain a thorough revision of the extant literature including both classical and state-of-the-art references.

Keywords

Convex optimization nonlinear programming nonsmooth optimization numerical optimization optimal control variational analysis

Authors and affiliations

  • Juan Peypouquet
    • 1
  1. 1.Universidad Técnica FedericoValparaísoChile

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-13710-0
  • Copyright Information The Author(s) 2015
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-13709-4
  • Online ISBN 978-3-319-13710-0
  • Series Print ISSN 2190-8354
  • Series Online ISSN 2191-575X
  • Buy this book on publisher's site