B1 Vertaisarvioimaton kirjoitus tieteellisessä lehdessä
Special Issue "Nonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov": Foreword by Guest Editors
Tekijät: Napsu Karmitsa, Sona Taheri
Kustantaja: MDPI
Julkaisuvuosi: 2020
Journal: Algorithms
Tietokannassa oleva lehden nimi: ALGORITHMS
Lehden akronyymi: ALGORITHMS
Artikkelin numero: ARTN 282
Vuosikerta: 13
Numero: 11
Sivujen määrä: 4
eISSN: 1999-4893
DOI: https://doi.org/10.3390/a13110282
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/51352597
Tiivistelmä
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.
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.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
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