© 1994

Algorithms for Continuous Optimization

The State of the Art

  • Emilio Spedicato

Part of the NATO ASI Series book series (ASIC, volume 434)

Table of contents

  1. Front Matter
    Pages i-xv
  2. C. G. Broyden
    Pages 25-35
  3. José Mario Martínez
    Pages 81-108
  4. R. Fletcher
    Pages 109-143
  5. M. C. Bartholomew-Biggs
    Pages 169-207
  6. G. Di Pillo
    Pages 209-253
  7. Andrew R. Conn, Nick Gould, Philippe L. Toint
    Pages 287-332
  8. Emilio Spedicato, Zunquan Xia
    Pages 333-356
  9. Joaquim J. Júdice
    Pages 435-474
  10. R. W. H. Sargent
    Pages 475-479
  11. Yu. G. Evtushenko, M. A. Potapov
    Pages 481-500
  12. L. C. W. Dixon
    Pages 513-530

About this book


The NATO Advanced Study Institute on "Algorithms for continuous optimiza­ tion: the state of the art" was held September 5-18, 1993, at II Ciocco, Barga, Italy. It was attended by 75 students (among them many well known specialists in optimiza­ tion) from the following countries: Belgium, Brasil, Canada, China, Czech Republic, France, Germany, Greece, Hungary, Italy, Poland, Portugal, Rumania, Spain, Turkey, UK, USA, Venezuela. The lectures were given by 17 well known specialists in the field, from Brasil, China, Germany, Italy, Portugal, Russia, Sweden, UK, USA. Solving continuous optimization problems is a fundamental task in computational mathematics for applications in areas of engineering, economics, chemistry, biology and so on. Most real problems are nonlinear and can be of quite large size. Devel­ oping efficient algorithms for continuous optimization has been an important field of research in the last 30 years, with much additional impetus provided in the last decade by the availability of very fast and parallel computers. Techniques, like the simplex method, that were already considered fully developed thirty years ago have been thoroughly revised and enormously improved. The aim of this ASI was to present the state of the art in this field. While not all important aspects could be covered in the fifty hours of lectures (for instance multiob­ jective optimization had to be skipped), we believe that most important topics were presented, many of them by scientists who greatly contributed to their development.


algorithms differential equation linear optimization network networks neural networks nonlinear optimization optimization programming

Editors and affiliations

  • Emilio Spedicato
    • 1
  1. 1.Department of MathematicsUniversity of BergamoBergamoItaly

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