List of Publications

Educational demonstrations:

  1. K. Majava, "Optimization-based techniques for image restoration", doctoral thesis, Department of Mathematical Information Technology, University of Jyväskylä, Jyväskylä, 2001. Grade: approved with honours.

  2. K. Majava, "Nonmonotone and monotone active-set methods for image restoration", Licentiate thesis, Department of Mathematical Information Technology, University of Jyväskylä, Jyväskylä, 2000. Grade: approved with honours.

  3. K. Majava, "Kohinanpoisto Lagrange-menetelmillä", MSc thesis, Department of Mathematics, University of Jyväskylä, Jyväskylä, 1998. In Finnish.

Refereed journal and proceedings articles:

  1. V. Tirronen, F. Neri, T. Kärkkäinen, K. Valjus, T. Rossi, "An Enhanced Memetic Differential Evolution in Filter Design for Defect Detection in Paper Production", Evolutionary Computation Journal, Vol. 16, No. 14, pp. 529--555, 2008.

  2. V. Tirronen, F. Neri, K. Valjus, T. Kärkkäinen, ''On Memetic Differential Evolution Frameworks: a Study of Advantages and Limitations in Hybridization'', in Proceedings of the IEEE World Congress on Computational Intelligence, pp. 2135-2142, 2008.

  3. V. Tirronen, F. Neri, K. Valjus, T. Kärkkäinen, ``The "natura Non Facit Saltus" Principle in Memetic Computing'', in Proceedings of the IEEE World Congress on Computational Intelligence, pp. 3882-3889, 2008.

  4. S. Äyrämö, T. Kärkkäinen and K. Majava, "Robust refinement of initial prototypes for partitioning-based clustering algorithms", in Recent Advances in Stochastic Modeling and Data Analysis, C. H. Skiadas (ed.), World Scientific, 2007. pp. 473-482.

  5. V. Tirronen, F. Neri, T. Kärkkäinen, K. Majava, T. Rossi, "A memetic differential evolution in filter design for defect detection in paper production", in Applications of Evolutionary Computing, Proceedings of EvoWorkshops 2007, M. Giacobini et.al. (eds.), Springer, 2007. pp. 320--329.

  6. K. Majava, R. Glowinski, and T. Kärkkäinen, "Solving a non-smooth eigenvalue problem using operator-splitting methods", International Journal of Computer Mathematics, Vol. 84, No. 6, pp. 825-846, 2007.

  7. K. Majava, N. Haarala, and 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.), Science Press, Beijing, 2007. pp. 319--332.

  8. T. Kärkkäinen, K. Majava, "Semi-adaptive, convex optimization methodology for image denoising", IEE Proceedings - Vision, Image & Signal Processing, Vol. 152, No. 5, pp. 553-560, 2005.

  9. T. Kärkkäinen, K. Kunisch, K. Majava, ``Denoising of smooth images using L^1-fitting'', Computing, Vol 74, No. 4, pp. 353 - 376, 2005.

  10. K. Majava, X.-C. Tai, "A level set method for solving free boundary problems associated with obstacles'', International Journal of Numerical Analysis and Modeling, Vol. 1, No. 2, pp. 157--172, 2004.

  11. R. Glowinski, T. Kärkkäinen, K. Majava, "On the convergence of operator-splitting methods", in Numerical Methods for Scientific Computing. Variational problems and applications, Y. Kuznetsov, P. Neittaanmäki, O. Pironneau (eds.), CIMNE, Barcelona, 2003.

  12. T. Kärkkäinen, K. Majava, M. M. Mäkelä, "Comparison of formulations and solution methods for image restoration problems", Inverse Problems, Vol. 17, No. 6, pp. 1977--1995, 2001.

  13. T. Kärkkäinen, K. Majava, "Nonmonotone and monotone active-set methods for image restoration, Part 1: Convergence analysis", J. Optim. Theory Appl., Vol. 106, No. 1, pp. 61--80, 2000.

  14. T. Kärkkäinen, K. Majava, "Nonmonotone and monotone active-set methods for image restoration, Part 2: Numerical results", J. Optim. Theory Appl., Vol. 106, No. 1, pp. 81--105, 2000.

  15. T. Kärkkäinen, K. Majava, "Determination of regularization parameter in monotone active set method for image restoration", in Proceedings of the 3rd European Conference on Numerical Mathematics and Advanced Applications, P. Neittaanmäki, T. Tiihonen and P. Tarvainen (eds.), World Scientific, Singapore, 2000. pp. 641--648.

  16. T. Kärkkäinen, K. Majava, "SAC-methods for image restoration", in Recent Advances in Applied and Theoretical Mathematics, N. Mastorakis (ed), Mathematics and Computers in Science and Engineering, World Scientific and Engineering Society, 2000. pp. 162--167.

Conference proceedings:

  1. Advanced Methods for Processing Bioelectrical Signals II, Final Meeting of the ProBisi Project, T. Kärkkäinen and K. Majava (eds.), Reports of the Department of Mathematical Information Technology, Series A. Collections, No. A 1/2007, University of Jyväskylä, 2007.

  2. Advanced Methods for Processing Bioelectrical Signals, The First Meeting of the ProBisi Project, T. Kärkkäinen and K. Majava (eds.), Reports of the Department of Mathematical Information Technology, Series A. Collections, No. A 3/2005, University of Jyväskylä, 2005.

  3. Proceedings of ECCOMAS 2004, 4th European Congress on Computational Methods in Applied Sciences and Engineering, Vol I, P. Neittaanmäki, T. Rossi, K. Majava, and O. Pironneau, (eds.), University of Jyväskylä, 2004. In CD-rom format.

Other publications:

  1. S. Äyrämö, T. Kärkkäinen and K. Majava, "Robust refinement of initial prototypes for partitioning-based clustering algorithms", in Proceedings of The 12th International Conference on Applied Stochastic Models and Data Analysis (ASMDA 2007), C.H. Skiadas (ed.), 2007. In CD-rom format.

  2. K. Majava, R. Glowinski, and T. Kärkkäinen, "Solving a non-smooth eigenvalue problem using operator-splitting methods", Reports of the Department of Mathematical Information Technology, Series B, Scientific Computing, No. B 9/2006, University of Jyväskylä, Jyväskylä, 2006.

  3. D. Ivanov, T. Kärkkäinen, K. Majava, and H. Lyytinen, ``A Spatial Approach to EEG Denoising'', Reports of the Department of Mathematical Information Technology, Series C, Software and Computational Engineering, No. C 1/2005, University of Jyväskylä, Jyväskylä, 2005.

  4. A. Ivannikov, T. Kärkkäinen, K. Majava, and H. Lyytinen, ``Automatic Artifact Correction in EEG Data Using Noise Distribution Approach'', in Advanced Methods for Processing Bioelectrical Signals, The First Meeting of the ProBisi Project, T. Kärkkäinen and K. Majava (eds.), University of Jyväskylä, 2005, pp. 15--30.

  5. D. Ivanov, T. Kärkkäinen, K. Majava, and H. Lyytinen, ``A Spatial Approach to EEG Denoising'', in Advanced Methods for Processing Bioelectrical Signals, The First Meeting of the ProBisi Project, T. Kärkkäinen and K. Majava (eds.), University of Jyväskylä, 2005, pp. 31--46.

  6. K. Majava, T. Kärkkäinen, ``Active-set algorithms for nonsmooth denoising problems'' in Proceedings of ECCOMAS 2004, 4th European Congress on Computational Methods in Applied Sciences and Engineering, Vol II, P. Neittaanmäki, T. Rossi, S. Korotov, E. Onate, J. Periaux, and D. Knörzer (eds.), University of Jyväskylä, 2004. In CD-rom format.

  7. K. Majava, X.-C. Tai, ``A level set method for solving free boundary problems associated with obstacles'', CAM Report 03-69, Department of Mathematics, University of California, Los Angeles, 2003.

  8. T. Kärkkäinen, K. Majava, "SAC - Semi-adaptive, convex optimization methodology for image restoration" Reports of the Department of Mathematical Information Technology, Series B, Scientific computing, No. B 11/2001, University of Jyväskylä, Jyväskylä, 2001.

  9. T. Kärkkäinen, K. Majava, "SAC-methods for image restoration", in proceedings of 2000 WSES International Conference on Applied and Theoretical Mathematics, N. Mastorakis (ed), World Scientific and Engineering Society, 2000. In CD-ROM format.

  10. T. Kärkkäinen, K. Majava, M. M. Mäkelä, "Comparison of formulations and solution methods for image restoration problems", Reports of the Department of Mathematical Information Technology, Series B, Scientific computing, No. B 14/2000, University of Jyväskylä, Jyväskylä, 2000.

  11. T. Kärkkäinen, K. Majava, "Nonmonotone and monotone active set methods for image restoration", Reports of the Department of Mathematical Information Technology, Series B, Scientific computing, No. B 9/1999, University of Jyväskylä, Jyväskylä, 1999.