© 2001

Optimization and Related Topics

  • Alexander Rubinov
  • Barney Glover

Part of the Applied Optimization book series (APOP, volume 47)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Numerical Methods and Applications

    1. Front Matter
      Pages 1-1
    2. Steve Levitt, Adi Ben-Israel
      Pages 27-40
    3. Leonid Churilov, Moshe Sniedovich
      Pages 41-60
    4. John Boland, Vladimir Gaitsgory, Phil Howlett, Peter Pudney
      Pages 71-81
    5. Victor Korotkich
      Pages 83-102
    6. Panos M. Pardalos, Pavel S. Knopov, Stanislav P. Uryasev, Vitaliy A. Yatsenko
      Pages 103-117
    7. Michael Peake, Charles E. M. Pearce
      Pages 119-134
  3. Theory of Optimization and Related Topics

About this book


This volume contains, in part, a selection of papers presented at the sixth Australian Optimization Day Miniconference (Ballarat, 16 July 1999), and the Special Sessions on Nonlinear Dynamics and Optimization and Operations Re­ search - Methods and Applications, which were held in Melbourne, July 11-15 1999 as a part of the Joint Meeting of the American Mathematical Society and Australian Mathematical Society. The editors have strived to present both con­ tributed papers and survey style papers as a more interesting mix for readers. Some participants from the meetings mentioned above have responded to this approach by preparing survey and 'semi-survey' papers, based on presented lectures. Contributed paper, which contain new and interesting results, are also included. The fields of the presented papers are very large as demonstrated by the following selection of key words from selected papers in this volume: • optimal control, stochastic optimal control, MATLAB, economic models, implicit constraints, Bellman principle, Markov process, decision-making under uncertainty, risk aversion, dynamic programming, optimal value function. • emergent computation, complexity, traveling salesman problem, signal estimation, neural networks, time congestion, teletraffic. • gap functions, nonsmooth variational inequalities, derivative-free algo­ rithm, Newton's method. • auxiliary function, generalized penalty function, modified Lagrange func­ tion. • convexity, quasiconvexity, abstract convexity.


Hilbert space MATLAB Maxima algorithms global optimization optimization queueing theory

Editors and affiliations

  • Alexander Rubinov
    • 1
  • Barney Glover
    • 2
  1. 1.School of Information Technology & Mathematical SciencesUniversity of BallaratVictoriaAustralia
  2. 2.School of Mathematics and StatisticsCurtin University of TechnologyAustralia

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