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Department: Any ÅAU / Department of Information Technologies UTU / Department of Information Technology UTU / Department of Mathematics and Statistics UTU / Turku School of Economics, Institute of Information Systems Sciences

Research Unit: Any Algorithmics and Computational Intelligence Group (ACI) Biomathematics Research Unit (BIOMATH) Communication Systems (ComSys) Computational Biomodeling Laboratory (Combio Lab) Data Mining and Knowledge Management Laboratory Distributed Systems Laboratory (DS Lab) Embedded Computer and Electronic Systems (ECES) Embedded Systems Laboratory (ESLAB) FUNDIM, Fundamentals of Computing and Discrete Mathematics Institute for Advanced Management Systems Research (IAMSR) Learning and Reasoning Lab Software Construction Laboratorium Software Development Laboratory (SwDev) Software Engineering Laboratory (SE Lab) Turku BioNLP Group Turku Optimization Group (TOpGroup) UTU Information Systems Science (ISS)

Publication type: Any Monographs Edited books Edited special issues of journals Edited proceedings Articles in journals Articles in proceedings Chapters in edited books Ph.D. thesis Lic. thesis Technical reports

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Articles in journals (3):

• Kaisa Joki, Adil M. Bagiroc, Napsu Karmitsa, Marko M. Mäkelä, New Proximal Bundle Method for Nonsmooth DC Optimization. 1130, 2015.
• Seppo Pulkkinen, Marko M. Mäkelä, Napsu Karmitsa, A Generative Model and a Generalized Trust Region Newton Method for Noise Reduction. Computational Optimization and Applications 57(1), 129–165, 2014.
• Seppo Pulkkinen, Marko M. Mäkelä, Napsu Karmitsa, A Continuation Approach to Mode-Finding of Multivariate Gaussian Mixtures and Kernel Density Estimates. Journal of Global Optimization 56(2), 459–487, 2013.

Chapters in edited books (1):

• Marko M. Mäkelä, Ville-Pekka Eronen, Napsu Karmitsa, On Nonsmooth Multiobjective Optimality Conditions with Generalized Convexities. In: Optimization in Science and Engineering: In Honor of the 60th Birthday of Panos M. Pardalos, 333–357, Springer, 2014.

Technical reports (25):

• Napsu Karmitsa, Sona Taheri, Kaisa Joki, Pauliina Mäkinen, Adil Bagirov, Marko M. Mäkelä, Hyperparameter Free NN Algorithm For Large-Scale Regression Problems. TUCS Technical Reports 1213, 2020.
• Adil M. Bagirov, Sona Taheri, Kaisa Joki, Napsu Karmitsa, Marko M. Mäkelä, A New Subgradient Based Method for Nonsmooth DC Programming. TUCS Technical Reports 1201, Turku Centre for Computer Science, 2019.
• Napsu Karmitsa, Sona Taheri, Adil Bagirov, Pauliina Mäkinen, Clusterwise Linear Regression Based Missing Value Imputation of Data Preprocessing. TUCS Technical Reports 1193, University of Turku, 2018.
• Ville-Pekka Eronen, Jan Kronqvist, Tapio Westerlund, Marko M. Mäkelä, Napsu Karmitsa, Extended Supporting Hyperplane Algorithm for Generalized Convex Nonsmooth MINLP Problems. TUCS Technical Reports 1179, TUCS, 2017.
• Kaisa Joki, Adil M. Bagirov, Napsu Karmitsa, Marko M. Mäkelä, Sona Taheri, Double Bundle Method for Nonsmooth DC Optimization. TUCS Technical Reports 1173, TUCS, 2017.
• Kaisa Joki, Adil M. Bagirov, Napsu Karmitsa, Marko M. Mäkelä, Sona Taheri, New Bundle Method for Clusterwise Linear Regression Utilizing Support Vector Machines. TUCS Technical Reports 1190, TUCS, 2017.
• Napsu Karmitsa, Manlio Gaudioso, Kaisa Joki, Splitting Metrics Diagonal Bundle Method for Large-Scale Nonconvex Nonsmooth Optimization. TUCS Technical Reports 1178, TUCS, 2017.
• Napsu Karmitsa, Adil Bagirov, Sona Taheri, Diagonal Bundle Method for Solving the Minimum Sum-of-Squares Clustering Problems. TUCS Technical Reports 1156, TUCS, 2016.
• Napsu Karmitsa, Adil Bagirov, Sona Taheri, MSSC Clustering of Large Data Using the Limited Memory Bundle Method. TUCS Technical Reports 1164, TUCS, 2016.
• Napsu Karmitsa, Adil Bagirov, Sona Taheri, Limited Memory Bundle Method for Solving Large Clusterwise Linear Regression Problems. TUCS Technical Reports 1172, TUCS, 2016.
• Kaisa Joki, Adil M. Bagirov, Napsu Karmitsa, Marko M. Mäkelä, New Proximal Bundle Method for Nonsmooth DC Optimization. TUCS Technical Reports 1130, TUCS, 2015.
• Napsu Karmitsa, On Testing Nonsmooth Formulations of the Lennard-Jones Potential in Polyatomic Clustering Problems. TUCS Technical Reports 1132, TUCS, 2015.
• Napsu Karmitsa, Diagonal Bundle Method for Nonsmooth Sparse Optimization. TUCS Technical Reports 1116, TUCS, 2014.
• Marko M. Mäkelä, Napsu Karmitsa, Outi Wilppu, Multiobjective Proximal Bundle Method for Nonsmooth Optimization. TUCS Technical Reports 1120, TUCS, 2014.
• Outi Wilppu, Napsu Karmitsa, Marko M. Mäkelä, New Multiple Subgradient Descent Bundle Method for Nonsmooth Multiobjective Optimization. TUCS Technical Reports 1126, TUCS, 2014.
• Marko M. Mäkelä, Ville-Pekka Eronen, Napsu Karmitsa, On Nonsmooth Optimality Conditions with Generalized Convexities. TUCS Technical Reports 1056, TUCS, 2012.
• Seppo Pulkkinen, Marko M. Mäkelä, Napsu Karmitsa, Integral Transformation for Box-Constrained Global Optimization of Decomposable Functions. TUCS Technical Reports 1036, Turku Centre for Computer Science, 2012.
• Seppo Pulkkinen, Marko M. Mäkelä, Napsu Karmitsa, A Generalized Trust Region Newton Method Applied to Noise Reduction. TUCS Technical Reports 1061, TUCS, 2012.
• Napsu Karmitsa, Adil Bagirov, Limited Memory Discrete Gradient Bundle Method for Nonsmooth Derivative Free Optimization. TUCS Technical Reports 1011, Turku Centre for Computer Science, 2011.
• Seppo Pulkkinen, Marko M. Mäkelä, Napsu Karmitsa, A Continuation Approach to Global Minimization of Gaussian RBF Models. TUCS Technical Reports 998, Turku Centre for Computer Science, 2011.
• Marko M. Mäkelä, Napsu Karmitsa, Ville-Pekka Eronen, On Generalized Pseudo- and Quasiconvexity for Nonsmooth Functions. TUCS Technical Reports 989, Turku Centre for Computer Science, 2010.
• Napsu Karmitsa, Adil Bagirov, Marko M. Mäkelä, Empirical and Theoretical Comparisons of Several Nonsmooth Minimization Methods and Software. TUCS Technical Reports 959, Turku Centre for Computer Science, 2009.
• Napsu Karmitsa, Mario Tanaka, Jose Herskovits, Nonconvex Nonsmooth Minimization via Cutting Planes and Feasible Direction Interior Point Method. TUCS Technical Reports 960, Turku Centre for Computer Science, 2009.
• Napsu Karmitsa, Marko M. Mäkelä, Globally Convergent Limited Memory Bundle Algorithm for Nondifferentiable Programming subject to Box Constraints. TUCS Technical Reports 882, Turku Centre for Computer Science, 2008.
• Napsu Karmitsa, LMBM - FORTRAN Subroutines for Large-Scale Nonsmooth Minimization: User's Manual. TUCS Technical Reports 856, Turku Centre for Computer Science, 2007.