Tensor Product Multigrid for Maxwell's Equation with Aligned Anisotropy. - Steffen Börm (Computing, 2001)

Analysis of tensor product multigrid. - Steffen Börm; Ralf Hiptmair (Numer. Algorithms, 2001)

Multigrid Computation of Axisymmetric Electromagnetic Fields. - Steffen Börm; Ralf Hiptmair (Adv. Comput. Math., 2002)

Data-sparse Approximation by Adaptive H2-Matrices. - Wolfgang Hackbusch; Steffen Börm (Computing, 2002)

Low-Rank Approximation of Integral Operators by Interpolation. - Steffen Börm; Lars Grasedyck (Computing, 2004)

Approximation of Integral Operators by H2-Matrices with Adaptive Bases. - Steffen Börm (Computing, 2005)

Hierarchical Quadrature for Singular Integrals. - Steffen Börm; Wolfgang Hackbusch (Computing, 2005)

BEM with linear complexity for the classical boundary integral operators. - Steffen Börm; Stefan A. Sauter (Math. Comput., 2005)

Hybrid cross approximation of integral operators. - Steffen Börm; Lars Grasedyck (Numerische Mathematik, 2005)

Approximation of Integral Operators by Variable-Order Interpolation. - Steffen Börm; Maike Löhndorf; Jens Markus Melenk (Numerische Mathematik, 2005)

H2 -Matrix Arithmetics in Linear Complexity. - Steffen Börm (Computing, 2006)

Approximating Gaussian Processes with H2-Matrices. - Steffen Börm; Jochen Garcke (ECML, 2007)

Adaptive Variable-Rank Approximation of General Dense Matrices. - Steffen Börm (SIAM J. Sci. Comput., 2007)

Construction of Data-Sparse H2-Matrices by Hierarchical Compression. - Steffen Börm (SIAM J. Sci. Comput., 2009)

Approximation of solution operators of elliptic partial differential equations by ℋ- and ℋ2-matrices. - Steffen Börm (Numerische Mathematik, 2010)

Computing the eigenvalues of symmetric (H2) -matrices by slicing the spectrum. - Peter Benner; Steffen Börm; Thomas Mach; Knut Reimer (Comput. Vis. Sci., 2013)

Efficient arithmetic operations for rank-structured matrices based on hierarchical low-rank updates. - Steffen Börm; Knut Reimer (Comput. Vis. Sci., 2013)

Low-rank approximation of integral operators by using the Green formula and quadrature. - Steffen Börm; Jessica Gördes (Numer. Algorithms, 2013)

Wissenschaftliches Rechnen: Simulationen mittels mathematischer Modelle. - Steffen Börm (Wissenschaft und Kunst der Modellierung, 2015)

Approximation of BEM matrices using GPGPUs. - Steffen Börm; Sven Christophersen (CoRR, 2015)

Approximation of integral operators by Green quadrature and nested cross approximation. - Steffen Börm; Sven Christophersen (Numerische Mathematik, 2016)

An analysis of a butterfly algorithm. - Steffen Börm; Christina Börst; Jens Markus Melenk (Comput. Math. Appl., 2017)

Directional H2-matrix compression for high-frequency problems. - Steffen Börm (Numer. Linear Algebra Appl., 2017)

Approximation of the high-frequency Helmholtz kernel by nested directional interpolation: error analysis. - Steffen Börm; Jens Markus Melenk (Numerische Mathematik, 2017)

Adaptive compression of large vectors. - Steffen Börm (Math. Comput., 2018)

Fast Large-Scale Boundary Element Algorithms. - Steffen Börm (HPCSE, 2019)

Hierarchical matrix arithmetic with accumulated updates. - Steffen Börm (Comput. Vis. Sci., 2019)

Semi-Automatic Task Graph Construction for H-Matrix Arithmetic. - Steffen Börm; Sven Christophersen; Ronald Kriemann (CoRR, 2019)

Exploiting nested task-parallelism in the H-LU factorization. - Rocío Carratalá-Sáez; Sven Christophersen; José Ignacio Aliaga; Vicenç Beltran 001; Steffen Börm; Enrique S. Quintana-Ortí (J. Comput. Sci., 2019)

Erratum to "Exploiting nested task-parallelism in theH-LU factorization" [J. Comput. Sci. 33 (2019) 20-33]. - Rocío Carratalá-Sáez; Sven Christophersen; José Ignacio Aliaga; Vicenç Beltran 001; Steffen Börm; Enrique S. Quintana-Ortí (J. Comput. Sci., 2019)

Dielectric breakdown prediction with GPU-accelerated BEM. - Cedric Münger; Steffen Börm; Jörg Ostrowski (CoRR, 2020)

Hybrid Matrix Compression for High-Frequency Problems. - Steffen Börm; Christina Börst (SIAM J. Matrix Anal. Appl., 2020)

Algorithmic Counting of Zero-Dimensional Finite Topological Spaces With Respect to the Covering Dimension. - Rudolf Berghammer; Steffen Börm; Michael Winter 001 (Appl. Math. Comput., 2021)

Adaptive Directional Compression of High-Frequency Helmholtz Boundary Element Matrices. - Steffen Börm (Comput. Methods Appl. Math., 2021)

Distributed H2-matrices for boundary element methods. - Steffen Börm (CoRR, 2022)

H2-matrices for translation-invariant kernel functions. - Steffen Börm; Janne Henningsen (CoRR, 2022)

SemiAutomatic Task Graph Construction for $ mathcal{H}$-Matrix Arithmetic. - Steffen Börm; Sven Christophersen; Ronald Kriemann (SIAM J. Sci. Comput., 2022)

On Iterated Interpolation. - Steffen Börm (SIAM J. Numer. Anal., 2022)

Computing Maxwell eigenmodes with Bloch boundary conditions. - Steffen Börm; Ralf Köhl; Nahid Talebi (CoRR, 2023)

Adaptive multiplication of rank-structured matrices in linear complexity. - Steffen Börm (CoRR, 2023)

Memory-efficient compression of DH2-matrices for high-frequency problems. - Steffen Börm; Janne Henningsen (CoRR, 2023)

Distributed ℋ2-Matrices for Boundary Element Methods. - Steffen Börm (ACM Trans. Math. Softw., 2023)

Adaptive multiplication of H2-matrices with block-relative error control. - Steffen Börm (CoRR, 2024)

Memory-efficient compression of 𝒟ℋ2-matrices for high-frequency Helmholtz problems. - Steffen Börm; Janne Henningsen (Numer. Linear Algebra Appl., 2024)