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Napsu Karmitsa
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Introduction to Nonsmooth Optimization: theory, practice and software
A Bagirov, N Karmitsa, MM Mäkelä
Springer International Publishing 12, 13, 2014
3532014
New limited memory bundle method for large-scale nonsmooth optimization
M Haarala, K Miettinen, MM Mäkelä
Optimization Methods and Software 19 (6), 673-692, 2004
1582004
Globally convergent limited memory bundle method for large-scale nonsmooth optimization
N Haarala, K Miettinen, MM Mäkelä
Mathematical programming 109 (1), 181-205, 2007
1412007
Comparing different nonsmooth minimization methods and software
N Karmitsa, A Bagirov, MM Mäkelä
Optimization Methods and Software 27 (1), 131-153, 2012
642012
A proximal bundle method for nonsmooth DC optimization utilizing nonconvex cutting planes
K Joki, AM Bagirov, N Karmitsa, MM Mäkelä
Journal of Global Optimization 68 (3), 501-535, 2017
572017
Subgradient method for nonconvex nonsmooth optimization
AM Bagirov, L Jin, N Karmitsa, A Al Nuaimat, N Sultanova
Journal of optimization theory and applications 157, 416-435, 2013
562013
Test problems for large-scale nonsmooth minimization
N Karmitsa
Reports of the Department of Mathematical Information Technology. Series B …, 2007
562007
Double bundle method for finding Clarke stationary points in nonsmooth DC programming
K Joki, AM Bagirov, N Karmitsa, MM Makela, S Taheri
SIAM Journal on Optimization 28 (2), 1892-1919, 2018
532018
Large-scale nonsmooth optimization: variable metric bundle method with limited memory
M Haarala
Jyväskylä studies in computing, 2004
532004
Partitional Clustering via Nonsmooth Optimization
AM Bagirov, N Karmitsa, S Taheri
51*2020
Limited memory bundle method for large bound constrained nonsmooth optimization: convergence analysis
N Karmitsa, MM Mäkelä
Optimization Methods & Software 25 (6), 895-916, 2010
402010
Clustering in large data sets with the limited memory bundle method
N Karmitsa, AM Bagirov, S Taheri
Pattern Recognition 83, 245-259, 2018
332018
On nonsmooth multiobjective optimality conditions with generalized convexities
MM Mäkelä, VP Eronen, N Karmitsa
Optimization in Science and Engineering: In Honor of the 60th Birthday of …, 2014
332014
Numerical nonsmooth optimization
AM Bagirov, M Gaudioso, N Karmitsa, MM Mäkelä, S Taheri
Springer International Publishing, 2020
322020
Missing value imputation via clusterwise linear regression
N Karmitsa, S Taheri, A Bagirov, P Mäkinen
IEEE Transactions on Knowledge and Data Engineering 34 (4), 1889-1901, 2020
302020
New diagonal bundle method for clustering problems in large data sets
N Karmitsa, AM Bagirov, S Taheri
European Journal of Operational Research 263 (2), 367-379, 2017
302017
Impact of non‐smooth observation operators on variational and sequential data assimilation for a limited‐area shallow‐water equation model
JL Steward, IM Navon, M Zupanski, N Karmitsa
Quarterly Journal of the Royal Meteorological Society 138 (663), 323-339, 2012
302012
Clusterwise support vector linear regression
K Joki, AM Bagirov, N Karmitsa, MM Mäkelä, S Taheri
European Journal of Operational Research 287 (1), 19-35, 2020
262020
Proximal bundle method for nonsmooth and nonconvex multiobjective optimization
MM Mäkelä, N Karmitsa, O Wilppu
Mathematical modeling and optimization of complex structures, 191-204, 2016
262016
Multiple subgradient descent bundle method for convex nonsmooth multiobjective optimization
O Montonen, N Karmitsa, MM Mäkelä
Optimization 67 (1), 139-158, 2018
212018
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