Book Chapters

  1. N. Karmitsa, A.M. Bagirov, S. Taheri, K. Joki, (2022) Limited Memory Bundle Method for Clusterwise Linear Regression, In: Tuovinen T., Periaux J., Neittaanmäki P. (eds) Computational Sciences and Artificial Intelligence in Industry. Intelligent Systems, Control and Automation: Science and Engineering, vol 76. Springer, Cham, pp 109-122
  2. Bagirov A.M., Sultanova N., Taheri S., Ozturk, G., (2021) Subgradient Smoothing Method for Nonsmooth Nonconvex Optimization, In: M. Al-Baali, L. Grandinetti, A. Purnama (eds) Numerical Analysis and Optimization, Springer Proceedings in Mathematics and Statistics book series
  3. Karmitsa N., Taheri S., (2020) Special Issue Nonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov: Foreword by Guest Editors. Algorithms 2020, 13(11), 282, https://doi.org/10.3390/a13110282
  4. Bagirov A.M., Karmitsa N., Taheri S., (2020) Discrete Gradient Methods, In: Bagirov A.M., Gaudioso M., Karmitsa N., Makela M.M., Taheri S. (eds) Numerical Nonsmooth Optimization, Springer, pp. 621–654
  5. Bagirov A.M., Taheri S., Bai F., Wu Z. (2019) An Approximate ADMM for Solving Linearly Constrained Nonsmooth Optimization Problems with Two Blocks of Variables, In: Hosseini S., Mordukhovich B., Uschmajew A. (eds) Nonsmooth Optimization and Its Applications, International Series of Numerical Mathematics, Birkhauser, Cham, Vol. 170, pp. 17–44
  6. Bagirov A.M., Sultanova N., Al Nuaimat A., Taheri S. (2018) Solving Minimax Problems: Local Smoothing Versus Global Smoothing, In: M. Al-Baali, L. Grandinetti, A. Purnama (eds) Numerical Analysis and Optimization, Springer Proceedings in Mathematics and Statistics book series PROMS, Vol. 235, pp. 23–43