[S1] Randomized algorithms for rounding in the Tensor-Train format, H. Al Daas, G. Ballard, P. Cazeaux, E. Hallman, A. Międlar, M. Pasha, T. W. Reid, A. K. Saibaba , 2021.
Preprint https://arxiv.org/abs/2110.04393

[A15] Distribution System Voltage Prediction from Smart Inverters using Decentralized Regression, Z. R. Atkins, C. J. Vogl, A. Madduri, N. Duan, A.K. Międlar, D. Merl. To appear in Proceeding of 2021 IEEE Power & Energy Society General Meeting (PESGM), 2021.
Preprint https://arxiv.org/abs/2101.04816

[A14] 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

[A13] 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.

[A12] 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

[A11] 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, 2017.

[A10] 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

[A9] 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

[A8] Adaptive Numerical Solution of Eigenvalue Problems arising from Finite Element Models. AMLS vs. AFEM,C. Conrads, V. Mehrmann and A. Międlar. A Panorama of Mathematics: Pure and Applied. Contemp. Math., AMS, Vol. 658, pp. 197--225, 2016. Preprint

[A7] 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

[A6] 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.

[A5] 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.

[A4] 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

[A3] 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

[A2] 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

[A1] 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.

[C1] A Story on Adaptive Finite Element Computations for Elliptic Eigenvalue Problems, A. Międlar, in Numerical Algebra, Matrix Theory, Differential-Algebraic Equations and Control Theory, Festschrift in Honor of Volker Mehrmann, eds. P. Benner, M. Bollhöfer, D. Kressner, C. Mehl and T. Stykel, Springer International Publishing Switzerland, pp. 223-255, 2015.

[P4] Hierarchically Enhanced Adaptive Finite Element Method for PDE Eigenvalue/Eigenvector Approximations, L. Grubišić, A. Międlar and J. S. Ovall, Numerical Solution of PDE Eigenvalue Problems, Mathematisches Forschungsinstitut Oberwolfach, Report (in press).

[P3] Error bounds for non-selfadjoint PDE eigenvalue problems, V. Mehrmann and A. Międlar, PAMM Proceedings in Applied Mathematics and Mechanics, No. 10, pp. 551 -- 552, 2010.

[P2] Adaptive solution of elliptic PDE-eigenvalue problems, A. Międlar and V. Mehrmann, Linear and Nonlinear Eigenproblems for PDEs, Mathematisches Forschungsinstitut Oberwolfach, Report No 37/2009, Online 2. October, 2009.

[P1] Adaptive solution of elliptic PDE-eigenvalue problems, V. Mehrmann and A. Międlar, PAMM Proceedings in Applied Mathematics and Mechanics, No. 9, pp. 583 -- 584, 2009.

[T2] Inexact Adaptive Finite Element Methods for Elliptic PDE Eigenvalue Problems, PhD Thesis, A. Międlar, Technische Universität Berlin, 2011.

[T1] Numerical Linear Algebra Algorithms for GPS, Master Thesis, A. Międlar, Wrocław University of Technology, Wrocław, July 2007.