Large-Scale Nonlinear Optimization

  • G. Di Pillo
  • M. Roma

Part of the Nonconvex Optimization and Its Applications book series (NOIA, volume 83)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Nicolas Bérend, J. Frédéric Bonnans, Julien Laurent-Varin, Mounir Haddou, Christophe Talbot
    Pages 1-14
  3. Oleg Burdakov, Oleg Sysoev, Anders Grimvall, Mohamed Hussian
    Pages 25-33
  4. Richard H. Byrd, Jorge Nocedal, Richard A. Waltz
    Pages 35-59
  5. H. Sue Dollar, Nicholas I. M. Gould, Andrew J. Wathen
    Pages 61-82
  6. Yury G. Evtushenko, Alexander I. Golikov, Saed Ketabchi
    Pages 95-113
  7. Francisco Facchinei, Jong-Shi Pang
    Pages 115-126
  8. Ladislav Lukšan, Jan Vlček
    Pages 185-210
  9. Giandomenico Mastroeni
    Pages 211-221
  10. Daniele Peri, Antonio Pinto, Emilio F. Campana
    Pages 223-241

About this book

Introduction

Large-Scale Nonlinear Optimization reviews and discusses recent advances in the development of methods and algorithms for nonlinear optimization and its applications, focusing on the large-dimensional case, the current forefront of much research.

The chapters of the book, authored by some of the most active and well-known researchers in nonlinear optimization, give an updated overview of the field from different and complementary standpoints, including theoretical analysis, algorithmic development, implementation issues and applications.

 

Audience

This book is intended for researchers in applied mathematics, advanced engineering, and computer science; it is also recommended for further reading within graduate studies, postgraduate and doctoral programs.

Keywords

Analysis algorithms linear algebra linear optimization nonlinear optimization numerical methods optimization quadratic programming

Editors and affiliations

  • G. Di Pillo
    • 1
  • M. Roma
    • 1
  1. 1.University of Rome “La Sapienza”Italy

Bibliographic information

  • DOI https://doi.org/10.1007/0-387-30065-1
  • Copyright Information Springer Science+Business Media, Inc. 2006
  • Publisher Name Springer, Boston, MA
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-0-387-30063-4
  • Online ISBN 978-0-387-30065-8
  • Series Print ISSN 1571-568X
  • About this book