© 1998

High Performance Algorithms and Software in Nonlinear Optimization

  • Renato De Leone
  • Almerico Murli
  • Panos M. Pardalos
  • Gerardo Toraldo

Part of the Applied Optimization book series (APOP, volume 24)

Table of contents

  1. Front Matter
    Pages N1-ix
  2. Daniela di Serafino, Lucia Maddalena, Paul Messina, Almerico Murli
    Pages 1-23
  3. Adil M. Bagirov, Niyazi K. Gadjiev
    Pages 25-42
  4. Vladimir A. Bulavski, Vyacheslav V. Kalashnikov
    Pages 69-85
  5. Bernd Bullnheimer, Gabriele Kotsis, Christine Strauß
    Pages 87-100
  6. Vincenzo Capalbo, Renato De Leone, Manlio Gaudioso
    Pages 101-108
  7. Raffaele Cerulli, Paola Festa, Giancarlo Raiconi
    Pages 109-124
  8. Marco D’Apuzzo, Valentina De Simone, Marina Marino, Gerardo Toraldo
    Pages 125-141
  9. Gianni Di Pillo, Stefano Lucidi, Laura Palagi, Massimo Roma
    Pages 143-159
  10. Zdeněk Dostál, Ana Friedlander, Sandra A. Santos
    Pages 161-173
  11. Rupert W. Ford, Graham D. Riley, Leonard T. Freeman
    Pages 175-187
  12. Emanuele Galligani, Valeria Ruggiero, Luca Zanni
    Pages 189-205
  13. Nicholas I. M. Gould, Stefano Lucidi, Massimo Roma, Philippe L. Toint
    Pages 207-223
  14. Nicholas I. M. Gould, Jorge Nocedal
    Pages 225-241
  15. William W. Hager
    Pages 243-254
  16. Panos M. Pardalos, Jonas Rappe, Mauricio G. C. Resende
    Pages 279-300
  17. János D. Pintér
    Pages 301-314

About this book


This book contains a selection of papers presented at the conference on High Performance Software for Nonlinear Optimization (HPSN097) which was held in Ischia, Italy, in June 1997. The rapid progress of computer technologies, including new parallel architec­ tures, has stimulated a large amount of research devoted to building software environments and defining algorithms able to fully exploit this new computa­ tional power. In some sense, numerical analysis has to conform itself to the new tools. The impact of parallel computing in nonlinear optimization, which had a slow start at the beginning, seems now to increase at a fast rate, and it is reasonable to expect an even greater acceleration in the future. As with the first HPSNO conference, the goal of the HPSN097 conference was to supply a broad overview of the more recent developments and trends in nonlinear optimization, emphasizing the algorithmic and high performance software aspects. Bringing together new computational methodologies with theoretical ad­ vances and new computer technologies is an exciting challenge that involves all scientists willing to develop high performance numerical software. This book contains several important contributions from different and com­ plementary standpoints. Obviously, the articles in the book do not cover all the areas of the conference topic or all the most recent developments, because of the large number of new theoretical and computational ideas of the last few years.


algorithms computation computer derivative linear optimization Mathematica model nonlinear optimization numerical analysis optimization parallel computing probability programming

Editors and affiliations

  • Renato De Leone
    • 1
  • Almerico Murli
    • 2
  • Panos M. Pardalos
    • 3
  • Gerardo Toraldo
    • 2
  1. 1.Università di CamerinoItaly
  2. 2.Università di Napoli Federico IIItaly
  3. 3.University of FloridaGainesvilleUSA

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