| Introduction to Nonsmooth Optimization: theory, practice and software A Bagirov, N Karmitsa, MM Mäkelä Springer International Publishing 12, 13, 2014 | 406 | 2014 |
| 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 | 169 | 2004 |
| Globally convergent limited memory bundle method for large-scale nonsmooth optimization N Haarala, K Miettinen, MM Mäkelä Mathematical programming 109 (1), 181-205, 2007 | 145 | 2007 |
| Partitional Clustering via Nonsmooth Optimization AM Bagirov, N Karmitsa, S Taheri | 70* | 2020 |
| Comparing different nonsmooth minimization methods and software N Karmitsa, A Bagirov, MM Mäkelä Optimization Methods and Software 27 (1), 131-153, 2012 | 67 | 2012 |
| 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 | 61 | 2017 |
| 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 | 58 | 2013 |
| 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 | 57 | 2020 |
| Test problems for large-scale nonsmooth minimization N Karmitsa Reports of the Department of Mathematical Information Technology. Series B …, 2007 | 57 | 2007 |
| Large-scale nonsmooth optimization: Variable metric bundle method with limited memory. MS Haarala | 57 | 2005 |
| 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 | 55 | 2018 |
| Numerical nonsmooth optimization AM Bagirov, M Gaudioso, N Karmitsa, MM Mäkelä, S Taheri Springer International Publishing, 2020 | 48 | 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 | 39 | 2010 |
| Clustering in large data sets with the limited memory bundle method N Karmitsa, AM Bagirov, S Taheri Pattern Recognition 83, 245-259, 2018 | 37 | 2018 |
| 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 | 37 | 2014 |
| 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 | 33 | 2017 |
| 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 | 30 | 2016 |
| 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 | 30 | 2012 |
| 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 | 28 | 2020 |
| Multiple subgradient descent bundle method for convex nonsmooth multiobjective optimization O Montonen, N Karmitsa, MM Mäkelä Optimization 67 (1), 139-158, 2018 | 25 | 2018 |
Adil BagirovFederation University AustraliaVerifierad e-postadress på federation.edu.au
