Nonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov

Released on by Napsu Karmitsa
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  • Nonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov Book Detail

  • Author : Napsu Karmitsa
  • Release Date : 2020-12-18
  • Publisher : MDPI
  • Genre : Science
  • Pages : 116
  • ISBN 13 : 3039438352
  • File Size : 80,80 MB
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Nonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov by Napsu Karmitsa PDF Summary

Book Description: The aim of this book was to collect the most recent methods developed for NSO and its practical applications. The book contains seven papers: The first is the foreword by the Guest Editors giving a brief review of NSO and its real-life applications and acknowledging the outstanding contributions of Professor Adil Bagirov to both the theoretical and practical aspects of NSO. The second paper introduces a new and very efficient algorithm for solving uncertain unit-commitment (UC) problems. The third paper proposes a new nonsmooth version of the generalized damped Gauss–Newton method for solving nonlinear complementarity problems. In the fourth paper, the abs-linear representation of piecewise linear functions is extended to yield simultaneously their DC decomposition as well as the pair of generalized gradients. The fifth paper presents the use of biased-randomized algorithms as an effective methodology to cope with NP-hard and nonsmooth optimization problems in many practical applications. In the sixth paper, a problem concerning the scheduling of nuclear waste disposal is modeled as a nonsmooth multiobjective mixed-integer nonlinear optimization problem, and a novel method using the two-slope parameterized achievement scalarizing functions is introduced. Finally, the last paper considers binary classification of a multiple instance learning problem and formulates the learning problem as a nonconvex nonsmooth unconstrained optimization problem with a DC objective function.

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