Monographs and Chapters in Books

Books

• A.M. Bagirov, N. Karmitsa, S. Taheri, "Partitional Clustering via Nonsmooth Optimization: Clustering via Optimization." (Second Edition), Springer, 2025.
• A.M. Bagirov, N. Karmitsa, S. Taheri, "Partitional Clustering via Nonsmooth Optimization: Clustering via Optimization." Springer, 2020.
• A.M. Bagirov, M. Gaudioso, N. Karmitsa, M.M. Mäkelä, S. Taheri (eds.), "Numerical Nonsmooth Optimization: State of the Art Algorithms." Springer, 2020.
• N. Karmitsa, S. Taheri (eds), "Special Issue ”Nonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov", in Algorithms, 2020.
• A.M. Bagirov, N. Karmitsa, M.M. Mäkelä, "Introduction to Nonsmooth Optimization: Theory, Practice and Software." Springer, 2014.
• M. Haarala, "Large-Scale Nonsmooth Optimization: Variable Metric Bundle Method with Limited Memory", Doctoral Thesis, Department of Mathematical Information Technology, University of Jyväskylä, Jyväskylä, 2004.

Chapters in Books

• N. Karmitsa, A. Bagirov, S. Taheri, K. Joki, "Limited Memory Bundle Method for Clusterwise Linear Regression", in: "Computational Sciences and Artificial Intelligence in Industry", T. Tuovinen, J. Periaux and P. Neittaanmäki (eds.), Springer, 2022.
• N. Karmitsa, "Limited memory bundle method and its variations for large-scale nonsmooth optimization", in "Numerical Nonsmooth Optimization: State-of-the-Art Algorithms." A. Bagirov, M. Gaudioso, N. Karmitsa, M.M. Mäkelä, S. Taheri (eds.), pp. 167-200, Springer, 2020.
• A. Bagirov, S. Taheri, N. Karmitsa, "Discrete gradient methods", in "Numerical Nonsmooth Optimization: State-of-the-Art Algorithms." A. Bagirov, M. Gaudioso, N. Karmitsa, M.M. Mäkelä, S. Taheri (eds.), pp. 621-654, Springer, 2020.
• N. Karmitsa, S. Taheri, "Special Issue ”Nonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov”: Foreword by Guest Editors", in Algorithms, 2020.
• V.-P. Eronen, M.M. Mäkelä, N. Karmitsa, "On Generalized Pseudo- and Quasiconvexities for Nonsmooth Functions" in Current Research in Nonlinear Analysis: In Honor of Haim Brezis and Louis Nirenberg. Th.M. Rassias (eds.), pp. 129-155, Springer, 2018.
• N. Karmitsa, "Numerical Methods for Large-Scale Nonsmooth Optimization" in "Big Data Optimization: Recent Developments and Challenges". A. Emrouznejad (eds.), Springer, Studies in Big Data, Vol. 18, 2016.
• M.M. Mäkelä, N. Karmitsa, O. Wilppu, "Proximal Bundle Method for Nonsmooth and Nonconvex Multiobjective Optimization" (author version) in Mathematical Modeling and Optimization of Complex Structures. T. Tuovinen, S. Repin and P. Neittaanmäki (eds.), Vol. 40 of Computational Methods in Applied Sciences, pp. 191-204, Springer, 2016.
• M.M. Mäkelä, V.-P. Eronen, N. Karmitsa, "On Nonsmooth Multiobjective Optimality conditions with Generalized Convexities" in Optimization in Science and Engineering. Th.M. Rassias, C.A. Floudas, and S. Butenko (eds.), pp. 341-366, Springer, 2014.
• M.M. Mäkelä, N. Karmitsa, A. Bagirov, "Subgradient and Bundle Methods for Nonsmooth Optimization" in Numerical Methods for Differential Equations, Optimization, and Technological Problems. Sergey Repin, Timo Tiihonen, and Tero Tuovinen (eds.), pp. 275-304, Springer, 2013.
• K. Majava, N. Haarala, T. Kärkkäinen, "Solving Variational Image Denoising Problems Using Limited Memory Bundle Method", in Recent Progress in Scientific Computing. Proceedings of SCPDE05, Wenbin Liu, Michael Ng and Zhong-Ci Shi (eds.), pp. 319-332, Science Press, Beijing, 2007.

See Also

• Refereed Journal and Proceedings Articles
• Educational Demonstrations
• Reports
• Submitted and In Preparation

Note: Before my marriage, I published under my maiden name of "Marjo Haarala". I have also taken my long-term nickname "Napsu" to my first official name. Thus, both "M. Haarala" and "N. Haarala" in the references are equal to "N. Karmitsa".