On Eigenvalue and Eigenvector Estimates for Nonnegative Definite Operators. - Luka Grubisic (SIAM J. Matrix Anal. Appl., 2006)

On estimators for eigenvalue/eigenvector approximations. - Luka Grubisic; Jeffrey S. Ovall (Math. Comput., 2009)

Pseudospectral picture of the seismic algorithm for Surface Multiple Attenuation. - Zlatko Drmac; Luka Grubisic; Zeljko Jericevic (MIPRO, 2011)

Error control for $$hp$$ -adaptive approximations of semi-definite eigenvalue problems. - Stefano Giani; Luka Grubisic; Jeffrey S. Ovall (Computing, 2013)

On the eigenvalue decay of solutions to operator Lyapunov equations. - Luka Grubisic; Daniel Kressner (Syst. Control. Lett., 2014)

Discrete perturbation estimates for eigenpairs of Fredholm operator-valued functions. - Luka Grubisic; Antonia Grbic (Appl. Math. Comput., 2015)

Efficient and reliable hp-FEM estimates for quadratic eigenvalue problems and photonic crystal applications. - Christian Engström; Stefano Giani; Luka Grubisic (Comput. Math. Appl., 2016)

Robust error estimates for approximations of non-self-adjoint eigenvalue problems. - Stefano Giani; Luka Grubisic; Agnieszka Miedlar; Jeffrey S. Ovall (Numerische Mathematik, 2016)

An a posteriori estimator of eigenvalue/eigenvector error for penalty-type discontinuous Galerkin methods. - Stefano Giani; Luka Grubisic; Harri Hakula; Jeffrey S. Ovall (Appl. Math. Comput., 2018)

Analysis of FEAST Spectral Approximations Using the DPG Discretization. - Jay Gopalakrishnan; Luka Grubisic; Jeffrey S. Ovall; Benjamin Parker (Comput. Methods Appl. Math., 2019)

Direct solution method for the equilibrium problem for elastic stents. - Luka Grubisic; Josip Tambaca (Numer. Linear Algebra Appl., 2019)

Spectral discretization errors in filtered subspace iteration. - Jay Gopalakrishnan; Luka Grubisic; Jeffrey S. Ovall (Math. Comput., 2020)

Smoothed-Adaptive Perturbed Inverse Iteration for Elliptic Eigenvalue Problems. - Stefano Giani; Luka Grubisic; Luca Heltai; Ornela Mulita (Comput. Methods Appl. Math., 2021)

Deep Neural Network Model for Approximating Eigenmodes Localized by a Confining Potential. - Luka Grubisic; Marko Hajba; Domagoj Lacmanovic (Entropy, 2021)

A Posteriori Error Estimates for Elliptic Eigenvalue Problems Using Auxiliary Subspace Techniques. - Stefano Giani; Luka Grubisic; Harri Hakula; Jeffrey S. Ovall (J. Sci. Comput., 2021)

Preconditioning the Quad Dominant Mesh Generator for Ship Structural Analysis. - Luka Grubisic; Domagoj Lacmanovic; Josip Tambaca (Algorithms, 2022)

A spectral projection based method for the numerical solution of wave equations with memory. - Christian Engström; Stefano Giani; Luka Grubisic (Appl. Math. Lett., 2022)

Higher Order Composite DG approximations of Gross-Pitaevskii ground state: Benchmark results and experiments. - Christian Engström; Stefano Giani; Luka Grubisic (J. Comput. Appl. Math., 2022)

khp-adaptive spectral projection based discontinuous Galerkin method for the numerical solution of wave equations with memory. - Stefano Giani; Christian Engström; Luka Grubisic (J. Comput. Appl. Math., 2023)

Stochastic collocation method for computing eigenspaces of parameter-dependent operators. - Luka Grubisic; Mikael Saarikangas; Harri Hakula (Numerische Mathematik, 2023)

Numerical solution of distributed-order time-fractional diffusion-wave equations using Laplace transforms. - Christian Engström; Stefano Giani; Luka Grubisic (J. Comput. Appl. Math., 2023)

Detecting Near Resonances in Acoustic Scattering. - Luka Grubisic; Ralf Hiptmair; Diego Renner (J. Sci. Comput., 2023)

Optimal Control of Parabolic Equations - A Spectral Calculus Based Approach. - Luka Grubisic; Martin Lazar; Ivica Nakic; Martin Tautenhahn (SIAM J. Control. Optim., 2023)

Geometric optimization of vascular stents modeled as networks of 1D rods. - Suncica Canic; Luka Grubisic; Matko Ljulj; Marcel Maretic; Josip Tambaca (J. Comput. Phys., 2023)

Subspace embedding with random Khatri-Rao products and its application to eigensolvers. - Zvonimir Bujanovic; Luka Grubisic; Daniel Kressner; Hei Yin Lam (CoRR, 2024)