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Editorial

Special Issue “Nonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov”: Foreword by Guest Editors

1
Department of Mathematics and Statistics, University of Turku, FI-20014 Turku, Finland
2
School of Science, RMIT University Australia, Melbourne, VIC 3001, Australia
*
Author to whom correspondence should be addressed.
Algorithms 2020, 13(11), 282; https://doi.org/10.3390/a13110282
Received: 4 November 2020 / Accepted: 4 November 2020 / Published: 7 November 2020
Nonsmooth optimization refers to the general problem of minimizing (or maximizing) functions that have discontinuous gradients. This Special Issue contains six research articles that collect together the most recent techniques and applications in the area of nonsmooth optimization. These include novel techniques utilizing some decomposable structures in nonsmooth problems—for instance, the difference-of-convex (DC) structure—and interesting important practical problems, like multiple instance learning, hydrothermal unit-commitment problem, and scheduling the disposal of nuclear waste. View Full-Text
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MDPI and ACS Style

Karmitsa, N.; Taheri, S. Special Issue “Nonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov”: Foreword by Guest Editors. Algorithms 2020, 13, 282. https://doi.org/10.3390/a13110282

AMA Style

Karmitsa N, Taheri S. Special Issue “Nonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov”: Foreword by Guest Editors. Algorithms. 2020; 13(11):282. https://doi.org/10.3390/a13110282

Chicago/Turabian Style

Karmitsa, Napsu, and Sona Taheri. 2020. "Special Issue “Nonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov”: Foreword by Guest Editors" Algorithms 13, no. 11: 282. https://doi.org/10.3390/a13110282

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