description

Morteza Kimiaei

College Assistant, Faculty of Mathematics, University of Vienna

Address: Room 04.133, Oskar-Morgenstern-Platz 1, 1090 Wien, Austria

Email: Email address

Full-CV: My curriculum vitae

VGSCO: VGSCO page

Google scholar : Google scholar page

Github : Github page

Research Interests:

  • Nonsmooth Optimization
  • Convex Optimization
  • Nonlinear Optimization
  • Computational Mathematics
  • Large-Scale Structured Optimization
  • Black box Optimization

    Publications (Published):

  • 1. M. Kimiaei , F. Rahpaymaii, A fixed point method for convex systems, Applied Mathematics , 3 (2012), 1327-1333.

  • 2. M. Ahookhosh, H. Esmaeili, M. Kimiaei , An effiective trust-region-based approach for symmetric nonlinear systems , International Journal of Computer Mathematics (Taylor & Francis, ISI), 90 (3) (2013), 671-690.

  • 3. H. Esmaeili, M. Kimiaei , An improved adaptive trust-region method for unconstrained optimization , Mathematical Modelling and Analysis (Taylor & Francis, ISI), 19(4) (2014), 469-490.

  • 4. H. Esmaeili, M. Kimiaei , A new adaptive trust-region method for systems of nonlinear equations , Applied Mathematical Modelling (Elsevier, ISI), 38(11-12) (2014), 3003-3015.

  • 5. H. Esmaeili, M. Kimiaei , An efficient implementation of a trust region method for box constrained optimization , Journal of Applied Mathematics and Computing (Springer, Scopus), 48 (2015), 495--517.

  • 6. M. Ahookhosh, K. Amini, M. Kimiaei , A globally convergent trust-region method for large-scale symmetric nonlinear systems , Numerical Functional Analysis and Optimization (Taylor & Francis, ISI), 36 (2015), 830-855.

  • 7. H. Esmaeili, M. Kimiaei , An efficient adaptive trust-region method for systems of nonlinear equations , International Journal of Computer Mathematics (Taylor & Francis, ISI), 92(1)(2015), 151-166.

  • 8. M. Ahookhosh, K. Amini, M. Kimiaei , M.R. Peyghami, A limited memory trust-region method with adaptive radius for large-scale unconstrained optimization,
          Bulletin of the Iranian Mathematical Society (Iranian Mathematical Society, ISI), 42(4) (2015), 819-837.

  • 9. K. Amini, Mushtak A.K. Shiker, M. Kimiaei , A line search trust-region algorithm with nonmonotone adaptive radius for solving systems of nonlinear equations, 4OR (Springer, ISI), 14(2) (2016), 133-152.

  • 10. K. Amini, H. Esmaeili, M. Kimiaei , A nonmonotone trust-region-approach with nonmonotone adaptive radius for nonlinear systems, Iranian Journal of Numerical Analysis and Optimization (ISC), 6(1) (2016), 101-121.

  • 11. F. Rahpeymaii, M. Kimiaei , A. Bagheri, A limited memory quasi-Newton trust-region method for box constrained optimization, Computational and Applied Mathematics (Elsevier, ISI), 303 (2016), 105-118.

  • 12. H. Esmaeili, M. Kimiaei , A trust-region method with improved adaptive radius for systems of nonlinear equations , Mathematical Methods of Operations Research (Springer, ISI), 83 (2016), 109-105.

  • 13. M. Kimiaei , H. Esmaeili, A trust-region approach with novel filter adaptive radius for systems of nonlinear equations , Numerical Algorithms (Springer, ISI), 73(4) (2016), 999-1016.

  • 14. M. Kimiaei , A new class of nonmonotone adaptive trust-region method for nonlinear equations with box constrained , Calcolo (Springer, ISI), 54(3) (2017), 769-812.

  • 15. M. Kimiaei , M. Rostami, Impulse noise removal based on new hybrid spectral conjugate gradient approach , KYBERNETIKA (The Czech Academy of Sciences, ISI), 52(5) (2016), 791-823.

  • 16. M. Kimiaei , Nonmonotone self-adaptive Levenberg-marquardt approach for solving systems of nonlinear equations , Numerical Functional Analysis and Optimization (Taylor & Francis, ISI), 39(1) (2018), 47-66.

  • 17. H. Esmaeili, M. Rostami, M. Kimiaei , Combining line search and trust-region methods for ℓ 1-minimization , International Journal of Computer Mathematics (Taylor & Francis, ISI), (2017), Accepted.

  • 18. M. Kimiaei , S. Ghaderi, A new restarting adaptive trust-region method for unconstrained optimization , Journal of the Operations Research Society of China (Springer, Scopus), 5(4) (2017), 487-507.

  • 19. K. Amini, M. Kimiaei , H. Khotanlou, A nonmonotone pattern search approach for systems of nonlinear equations , International Journal of Computer Mathematics (Taylor & Francis, ISI), (2017)

  • 20. H. Esmaeili, M. Rostami, M. Kimiaei , Extended Dai-Yuan conjugate gradient strategy for large-scale unconstrained optimization with applications to compressive sensing, FILOMAT , (2018), Accepted.

  • 21. H. Esmaeili, S. Shabani, M. Kimiaei , A new generalized shrinkage conjugate gradient method for sparse recovery , Calcolo , (Springer, ISI), (2018), Accepted.

  • 22. M. Kimiaei , F. Rahpeymaii, Impulse noise removal by an adaptive trust-region method , Soft Computing , (Springer, ISI), 23 (2019), 11901-11923.

  • 23. M. Kimiaei , F. Rahpeymaii, A new nonmonotone line-search adaptive trust-region approach for nonlinear systems, TOP , (Springer, ISI), 27(2) (2019), 199-232.

    Publications (Working papers):

  • 1. M. Kimiaei , A. Neumaier, Testing and tuning optimization algorithm, in preprint (2019).

  • 2. M. Kimiaei , A. Neumaier, B. Azmi, LMBOPT - a limited memory method for bound-constrained optimization, submitted (2019).

  • 3. M. Kimiaei , A. Neumaier, Efficient unconstrained black box optimization, submitted (2019).

  • 4. M. Kimiaei , Line search in noisy unconstrained black box optimization I: Complexity analysis, submitted (2019).

  • 5. M. Kimiaei , Line search in noisy unconstrained black box optimization II: Implementation, submitted (2019).

  • 6. M. Kimiaei , G. Liuzzi, S. Lucidi, A line search derivative-free algorithm using a Quasi-Newton-type step, in preprint (2019).

  • 7. M. Kimiaei , Limited memory for constrained black box optimization, in preprint (2019).

  • 8. M. Kimiaei , A. Neumaier, Limited memory for unconstrained nonlinear least squares, in preprint (2019).

    Presentations at conferences:

  • 1. M. Kimiaei, A. Neumaier, Comparing solvers for unconstrained and box constrained optimization, 18th FGI Conference on Optimization, Paderborn, Germany, September, (2017).

  • 2. M. Kimiaei, A. Neumaier, Competitive derivative-free optimization with optimal complexity, ISMP, Bordeaux, French, July 1-6, (2018).

  • 3. M. Kimiaei, Efficient noisy unconstrained black box optimization, the Sixth International Conference on Continuous Optimization, ICCOPT 2019, Berlin, Germany.

  • 4. M. Kimiaei, A. Neumaier, Efficient black box optimization with complexity guarantees, the Sixth International Conference on Continuous Optimization, ICCOPT 2019, Berlin, Germany.