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Agnieszka Katarzyna Międlar

College of Liberal Arts and Sciences - Mathematics
Assistant Professor
Dr. rer. nat.
Primary office:
Snow Hall, room #522
University of Kansas
1460 Jayhawk Boulevard
Lawrence, KS 66045-7594


I am native Polish. I got my Master in Computer Science from the Wroclaw University of Technology and PhD in Mathematics from the Technical University of Berlin. Before joining KU I was working at the TU Braunschweig, EPF Lausanne and University of Minnesota.


10/2007 - 03/2011 PhD student at Berlin Mathematical School, Institute of Mathematics, Technical University Berlin, Germany
03/2007 - 07/2007 Socrates-Erasmus Exchange Program in Computer Science, Institute of Computer Science, University of Paderborn, Germany
10/2003 - 07/2007 Marketing and Management, Faculty of Computer Science and Management, Politechnika Wrocławska, Poland
10/2002 - 07/2007 Computer Science, Faculty of Fundamental Problems of Technology, Institute of Mathematics and Computer Science, Politechnika Wrocławska, Poland


Teaching Interests

  • Linear Algebra
  • Differential equations
  • Numerical Linear Algebra
  • Numerical Analysis


My research covers subjects in numerical analysis for partial differential equations and numerical linear algebra, with a focus on the numerical solution of symmetric and nonsymmetric eigenvalue problems, adaptive finite element methods, a priori and a posteriori error analysis for PDEs including discretization and approximation errors.

My current research is concerned with iterative solvers for challenging large scale linear systems and linear and nonlinear eigenvalue problems, approximation of matrices, data analysis, machine learning, model reduction techniques and stability analysis of dynamical systems. I conduct research in a range from theoretical investigations for problems motivated by engineering applications through to developing advanced computational methods of practical industrial relevance.

Research Interests

  • Numerical linear algebra
  • Scientific computing
  • Matrix theory and analysis
  • Numerical analysis for PDEs

Selected Publications


Journal Publications

[14] A rational approximation method for solving acoustic nonlinear eigenvalue problem, M. El-Guide, A. Międlar and Y. Saad, Eng. Anal. Bound. Elem., Vol. 111, pp. 44--54, 2020.
Preprint https://arxiv.org/abs/1906.03938

[13] An implicit algorithm for computing the minimal Ger\v{s}gorin set, S. Milićević, V. R. Kostić, Lj Cvetković, and A. Międlar. Filomat 33, no. 13, pp.4229--4238, 2019.

[12] FEAST Eigensolver for Nonlinear Eigenvalue Problems, B. Gavin, A. Międlar and E. Polizzi, J. Comp. Sci., Vol. 27, pp. 107--117, 2018.
Preprint https://arxiv.org/pdf/1801.09794.pdf

[11] Formation Enthalpies for Transition Metal Alloys Using Machine Learning, S. Ubaru, A. Międlar, Y. Saad and and J. R. Chelikowsky. Phys. Rev. B 95, 214102 - Published 1 June 2017. DOI: 10.1103/PhysRevB.95.214102

[10] An algorithm for computing minimal Geršgorin sets, V. R. Kostić, A. Międlar and Lj. Cvetković, Numer. Linear Algebra Appl. 23(2):272--290, 2016. Preprint

[9] Robust estimates for hp-adaptive approximations of non-self-adjoint eigenvalue problem, S. Giani, L. Grubišić, A. Międlar and J. S. Ovall, Numer. Math., Volume 133, Issue 3, pp. 471--495, 2016. Preprint

[8] Adaptive Numerical Solution of Eigenvalue Problems arising from Finite Element Models. AMLS vs. AFEM,C. Conrads, V. Mehrmann and A. Międlar. To appear in AMS Contemporary Matematics. Preprint

[7] On matrix nearness problems: distance to delocalization, V. Kostić, A. Międlar and J. Stolwijk, SIAM. J. Matrix Anal. & Appl., 36(2), 435--460, 2015. Preprint

[6] Model Reduction of Reactive Processes, M. Lemke, A. Międlar, J. Reiss, V. Mehrmann and J. Sesterhenn, In R. King, ed., Active Flow and Combustion Control 2014, vol. 127 of NNFM, pp. 234--362, Springer International Publishing, 2015.

[5] An Adaptive Finite Element Method with Asymptotic Saturation for Eigenvalue Problem, C. Carstensen, J. Gedicke, V. Mehrmann and A. Międlar, Numer. Math., Volume 128, Issue 4, pp. 615-634, 2014.

[4] Interplay between discretization and algebraic computation in adaptive numerical solution of elliptic PDE problems, M. Arioli, J. Liesen, A. Międlar and Z. Strakoš, GAMM Mitteilungen, vol. 36, pp. 102-129, 2013. Preprint

[3] An adaptive homotopy approach for non-selfadjoint eigenvalue problems, C. Carstensen, J. Gedicke, V. Mehrmann and A. Międlar, Numer. Math., 119(3), pp. 557--583, 2011. Preprint

[2] Adaptive computations of smallest eigenvalues of self-adjoint elliptic partial differential equations, V. Mehrmann and A. Międlar, Numer. Linear Algebra Appl., 18, pp. 387--409, 2011. Preprint

[1] Fast low rank approximations of matrices and tensors, S. Friedland, V. Mehrmann, A. Międlar and M. Nkengla, Electron. J. Linear Algebra, 22, pp. 1031--1048, 2011.

» Show All Publications

Selected Grants

12/29/2019 - 05/31/2020 Research Funding, Lawrence Livermore National Laboratory
10/01/2018 - 09/30/2021 AF: Small: Collaborative Research: Effective Numerical Algorithms and Software for Nonlinear Eigenvalue Problems. Naional Science Foundation (NSF) Award #1812927
09/2017 - 08/2011 Collaboration Grant for Mathematicians, Simons Foundation
04/2017 - 04/2019 New Faculty General Research Fund (NFGRF), University of Kansas
06/2014 - 05/2017 Einstein Center for Mathematics (ECMath), Berlin Project OT3
03/2014 - 11/2014 DFG Research Fellowship at EPF Lausanne

Events Calendar

Using Math

CTE course transformation grant helps Emily Witt, assistant professor of math, develop active learning with student groups in calculus.  Positive results using modules developed with Justin Lyle and Amanda Wilkens, math graduate students, were attained.  Read more

Math and COVID-19: Sources on how math is being used to track the virus and its spread.  AMS link.

A mathematician-musician's breakthrough melds East, West. Read more.

Researcher's innovative approach to flood mapping support emergency management and water officials. Read more.

Nicole Johnson found a way to express her baton twirling using math. See video.