Napsu Karmitsa
napsu.karmitsa@utu.fi Vesilinnantie 5 Turku |
Publications 
3 of 6
- A New Subgradient Based Method for Nonsmooth DC Programming (2019) Adil M. Bagirov, Sona Taheri, Kaisa Joki, Napsu Karmitsa, Marko M. Mäkelä
(D4 Published development or research report or study ) - Diagonal Bundle Method with Convex and Concave Updates for Large-Scale Nonconvex and Nonsmooth Optimization (2019)
- Optimization Methods and SoftwarePattern Recognition
(A1 Refereed original research article in a scientific journal) - Clustering in large data sets with the limited memory bundle method (2018)
(A1 Refereed original research article in a scientific journal) - Double Bundle Method for finding Clarke Stationary Points in Nonsmooth DC Programming (2018)
- SIAM Journal on Optimization
(A1 Refereed original research article in a scientific journal) - Multiple subgradient descent bundle method for convex nonsmooth multiobjective optimizationDouble Bundle Method for Nonsmooth DC Optimization (2018)
- OptimizationTUCS Publication Series
(A1 Refereed original research article in a scientific journal) - On generalized pseudo- and quasiconvexities for nonsmooth functionsA proximal bundle method for nonsmooth DC optimization utilizing nonconvex cutting planes (2018) Current Research in Nonlinear Analysis. Springer Optimization and Its Applications Ville-Pekka Eronen, Marko M. Mäkelä, Napsu Karmitsa
(A3 Refereed book chapter or chapter in a compilation book) - (2017)
- Journal of Global Optimization
(A1 Refereed original research article in a scientific journal) - (2017)
(D4 Published development or research report or study ) - Method for solving generalized convex nonsmooth mixed-integer nonlinear programming problems (2017)
- Journal of Global Optimization
(A1 Refereed original research article in a scientific journal) - New bundle method for clusterwise linear regression utilizing support vector machines (2017)
- TUCS Publication Series
(D4 Published development or research report or study )
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