Semi-automatic Generation of Web-Based Computing Environments for Software Libraries. - Pedher Johansson; Daniel Kressner (International Conference on Computational Science (1), 2002)

Large periodic Lyapunov equations: Algorithms and applications. - Daniel Kressner (ECC, 2003)

Structure preservation: a challenge in computational control. - Peter Benner; Daniel Kressner; Volker Mehrmann (Future Gener. Comput. Syst., 2003)

New Hamiltonian Eigensolvers with Applications in Control. - Peter Benner; Daniel Kressner (CDC/ECC, 2005)

Le retard en convergence des dérivées pour les calculs itératifs avec point fixe. - Andreas Griewank; Daniel Kressner (ARIMA J., 2005)

Perturbation Bounds for Isotropic Invariant Subspaces of Skew-Hamiltonian Matrices. - Daniel Kressner (SIAM J. Matrix Anal. Appl., 2005)

Numerical Methods for General and Structured Eigenvalue Problems. - Daniel Kressner (Springer, 2005)

Structure-preserving eigenvalue solvers for robust stability and controllability estimates. - Daniel Kressner; Emre Mengi (CDC, 2006)

Parallel Variants of the Multishift QZ Algorithm with Advanced Deflation Techniques. - Björn Adlerborn; Bo Kågström; Daniel Kressner (PARA, 2006)

Recent Advances in Dense Linear Algebra: Minisymposium Abstract. - Daniel Kressner; Julien Langou (PARA, 2006)

A periodic Krylov-Schur algorithm for large matrix products. - Daniel Kressner (Numerische Mathematik, 2006)

Structured Condition Numbers for Invariant Subspaces. - Ralph Byers; Daniel Kressner (SIAM J. Matrix Anal. Appl., 2006)

Multishift Variants of the QZ Algorithm with Aggressive Early Deflation. - Bo Kågström; Daniel Kressner (SIAM J. Matrix Anal. Appl., 2006)

Structured Eigenvalue Condition Numbers. - Michael Karow; Daniel Kressner; Françoise Tisseur (SIAM J. Matrix Anal. Appl., 2006)

Algorithm 854: Fortran 77 subroutines for computing the eigenvalues of Hamiltonian matrices II. - Peter Benner; Daniel Kressner (ACM Trans. Math. Softw., 2006)

Block algorithms for reordering standard and generalized schur forms. - Daniel Kressner (ACM Trans. Math. Softw., 2006)

MATLAB tools for solving periodic eigenvalue problems. - Robert Granat; Bo Kågström; Daniel Kressner (PSYCO, 2007)

A parallel Schur method for solving continuous-time algebraic Riccati equations. - Robert Granat; Bo Kågström; Daniel Kressner (CACSD, 2008)

Memory-efficient Krylov subspace techniques for solving large-scale Lyapunov equations. - Daniel Kressner (CACSD, 2008)

The Effect of Aggressive Early Deflation on the Convergence of the QR Algorithm. - Daniel Kressner (SIAM J. Matrix Anal. Appl., 2008)

Block variants of Hammarling's method for solving Lyapunov equations. - Daniel Kressner (ACM Trans. Math. Softw., 2008)

Optimal image alignment with random measurements. - Effrosini Kokiopoulou; Daniel Kressner; Pascal Frossard (EUSIPCO, 2009)

Reduction to Condensed Forms for Symmetric Eigenvalue Problems on Multi-core Architectures. - Paolo Bientinesi; Francisco D. Igual; Daniel Kressner; Enrique S. Quintana-Ortí (PPAM (1), 2009)

Parallel eigenvalue reordering in real Schur forms. - Robert Granat; Bo Kågström; Daniel Kressner (Concurr. Comput. Pract. Exp., 2009)

Implicit QR algorithms for palindromic and even eigenvalue problems. - Daniel Kressner; Christian Schröder; David S. Watkins (Numer. Algorithms, 2009)

A block Newton method for nonlinear eigenvalue problems. - Daniel Kressner (Numerische Mathematik, 2009)

On the structured distance to uncontrollability. - Michael Karow; Daniel Kressner (Syst. Control. Lett., 2009)

Structured Hölder Condition Numbers for Multiple Eigenvalues. - Daniel Kressner; María José Peláez; Julio Moro (SIAM J. Matrix Anal. Appl., 2009)

On the Curvature of Pattern Transformation Manifolds: Numerical Estimation and Applications. - Effrosini Kokiopoulou; Daniel Kressner; Pascal Frossard (AAAI Fall Symposium: Manifold Learning and Its Applications, 2010)

Accelerating Model Reduction of Large Linear Systems with Graphics Processors. - Peter Benner; Pablo Ezzatti; Daniel Kressner; Enrique S. Quintana-Ortí; Alfredo Remón (PARA (2), 2010)

On Aggressive Early Deflation in Parallel Variants of the QR Algorithm. - Bo Kågström; Daniel Kressner; Meiyue Shao (PARA (1), 2010)

Die SLICOT-Toolboxen für Matlab (The SLICOT Toolboxes for Matlab). - Peter Benner; Daniel Kressner; Vasile Sima; András Varga (Autom., 2010)

On the computation of structured singular values and pseudospectra. - Michael Karow; Effrosini Kokiopoulou; Daniel Kressner (Syst. Control. Lett., 2010)

Krylov Subspace Methods for Linear Systems with Tensor Product Structure. - Daniel Kressner; Christine Tobler (SIAM J. Matrix Anal. Appl., 2010)

A Novel Parallel QR Algorithm for Hybrid Distributed Memory HPC Systems. - Robert Granat; Bo Kågström; Daniel Kressner (SIAM J. Sci. Comput., 2010)

Optimal similarity registration of volumetric images. - Effrosini Kokiopoulou; Daniel Kressner; Michail Zervos; Nikos Paragios (CVPR, 2011)

Fusion of Digital Elevation Models Using Sparse Representations. - Haris Papasaika; Effrosini Kokiopoulou; Emmanuel Baltsavias; Konrad Schindler; Daniel Kressner (PIA, 2011)

Preconditioned Low-Rank Methods for High-Dimensional Elliptic PDE Eigenvalue Problems. - Daniel Kressner; Christine Tobler (Comput. Methods Appl. Math., 2011)

Condensed forms for the symmetric eigenvalue problem on multi-threaded architectures. - Paolo Bientinesi; Francisco D. Igual; Daniel Kressner; Matthias Petschow; Enrique S. Quintana-Ortí (Concurr. Comput. Pract. Exp., 2011)

Continuation of eigenvalues and invariant pairs for parameterized nonlinear eigenvalue problems. - Wolf-Jürgen Beyn; Cedric Effenberger; Daniel Kressner (Numerische Mathematik, 2011)

A mixed-precision algorithm for the solution of Lyapunov equations on hybrid CPU-GPU platforms. - Peter Benner; Pablo Ezzatti; Daniel Kressner; Enrique S. Quintana-Ortí; Alfredo Remón (Parallel Comput., 2011)

Low-Rank Tensor Krylov Subspace Methods for Parametrized Linear Systems. - Daniel Kressner; Christine Tobler (SIAM J. Matrix Anal. Appl., 2011)

Optimal Image Alignment With Random Projections of Manifolds: Algorithm and Geometric Analysis. - Effrosini Kokiopoulou; Daniel Kressner; Pascal Frossard (IEEE Trans. Image Process., 2011)

New SLICOT routines based on structured eigensolvers. - Vasile Sima; Peter Benner; Daniel Kressner (CCA, 2012)

An Error Analysis of Galerkin Projection Methods for Linear Systems with Tensor Product Structure. - Bernhard Beckermann; Daniel Kressner; Christine Tobler (SIAM J. Numer. Anal., 2013)

Low-Rank Tensor Methods for Communicating Markov Processes. - Daniel Kressner; Francisco Macedo (QEST, 2014)

An indefinite variant of LOBPCG for definite matrix pencils. - Daniel Kressner; Marija Miloloza Pandur; Meiyue Shao (Numer. Algorithms, 2014)

A preconditioned low-rank CG method for parameter-dependent Lyapunov matrix equations. - Daniel Kressner; Martin Plesinger; Christine Tobler (Numer. Linear Algebra Appl., 2014)

Memory-efficient Arnoldi algorithms for linearizations of matrix polynomials in Chebyshev basis. - Daniel Kressner; José E. Román (Numer. Linear Algebra Appl., 2014)

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

Computing Extremal Points of Symplectic Pseudospectra and Solving Symplectic Matrix Nearness Problems. - Nicola Guglielmi; Daniel Kressner; Christian Lubich (SIAM J. Matrix Anal. Appl., 2014)

On a Perturbation Bound for Invariant Subspaces of Matrices. - Michael Karow; Daniel Kressner (SIAM J. Matrix Anal. Appl., 2014)

Nonlinear Eigenvalue Problems with Specified Eigenvalues. - Michael Karow; Daniel Kressner; Emre Mengi (SIAM J. Matrix Anal. Appl., 2014)

Subspace Methods for Computing the Pseudospectral Abscissa and the Stability Radius. - Daniel Kressner; Bart Vandereycken (SIAM J. Matrix Anal. Appl., 2014)

A Parallel QZ Algorithm for Distributed Memory HPC Systems. - Björn Adlerborn; Bo Kågström; Daniel Kressner (SIAM J. Sci. Comput., 2014)

Low-Rank Tensor Methods with Subspace Correction for Symmetric Eigenvalue Problems. - Daniel Kressner; Michael Steinlechner; André Uschmajew (SIAM J. Sci. Comput., 2014)

Optimally packed chains of bulges in multishift QR algorithms. - Lars Karlsson; Daniel Kressner; Bruno Lang (ACM Trans. Math. Softw., 2014)

Algorithm 941: htucker - A Matlab Toolbox for Tensors in Hierarchical Tucker Format. - Daniel Kressner; Christine Tobler (ACM Trans. Math. Softw., 2014)

Low-Rank Tensor Approximation for High-Order Correlation Functions of Gaussian Random Fields. - Daniel Kressner; Rajesh Kumar; Fabio Nobile; Christine Tobler (SIAM/ASA J. Uncertain. Quantification, 2015)

Truncated low-rank methods for solving general linear matrix equations. - Daniel Kressner; Petar Sirkovic (Numer. Linear Algebra Appl., 2015)

Low rank differential equations for Hamiltonian matrix nearness problems. - Nicola Guglielmi; Daniel Kressner; Christian Lubich (Numerische Mathematik, 2015)

Algorithm 953: Parallel Library Software for the Multishift QR Algorithm with Aggressive Early Deflation. - Robert A. Granat; Bo Kågström; Daniel Kressner; Meiyue Shao (ACM Trans. Math. Softw., 2015)

Projection methods for large-scale T-Sylvester equations. - Froilán M. Dopico; Javier González; Daniel Kressner; Valeria Simoncini (Math. Comput., 2016)

A block algorithm for computing antitriangular factorizations of symmetric matrices. - Zvonimir Bujanovic; Daniel Kressner (Numer. Algorithms, 2016)

Parallel algorithms for tensor completion in the CP format. - Lars Karlsson; Daniel Kressner; André Uschmajew (Parallel Comput., 2016)

Subspace Acceleration for Large-Scale Parameter-Dependent Hermitian Eigenproblems. - Petar Sirkovic; Daniel Kressner (SIAM J. Matrix Anal. Appl., 2016)

Reduced Basis Methods: From Low-Rank Matrices to Low-Rank Tensors. - Jonas Ballani; Daniel Kressner (SIAM J. Sci. Comput., 2016)

Preconditioned Low-rank Riemannian Optimization for Linear Systems with Tensor Product Structure. - Daniel Kressner; Michael Steinlechner; Bart Vandereycken (SIAM J. Sci. Comput., 2016)

Perturbation of Higher-Order Singular Values. - Wolfgang Hackbusch; Daniel Kressner; André Uschmajew (SIAM J. Appl. Algebra Geom., 2017)

A Novel Iterative Method To Approximate Structured Singular Values. - Nicola Guglielmi; Mutti-Ur Rehman; Daniel Kressner (SIAM J. Matrix Anal. Appl., 2017)

Structure-Preserving Low Multilinear Rank Approximation of Antisymmetric Tensors. - Erna Begovic Kovac; Daniel Kressner (SIAM J. Matrix Anal. Appl., 2017)

Fast Computation of Spectral Projectors of Banded Matrices. - Daniel Kressner; Ana Susnjara (SIAM J. Matrix Anal. Appl., 2017)

Recompression of Hadamard Products of Tensors in Tucker Format. - Daniel Kressner; Lana Perisa (SIAM J. Sci. Comput., 2017)

Learning Heat Diffusion Graphs. - Dorina Thanou; Xiaowen Dong 001; Daniel Kressner; Pascal Frossard (IEEE Trans. Signal Inf. Process. over Networks, 2017)

7th Workshop on Matrix Equations and Tensor Techniques. - Peter Benner; Heike Faßbender; Lars Grasedyck; Daniel Kressner; Beatrice Meini; Valeria Simoncini (Numer. Linear Algebra Appl., 2018)

Low-Rank Updates of Matrix Functions. - Bernhard Beckermann; Daniel Kressner; Marcel Schweitzer (SIAM J. Matrix Anal. Appl., 2018)

A Householder-Based Algorithm for Hessenberg-Triangular Reduction. - Zvonimir Bujanovic; Lars Karlsson; Daniel Kressner (SIAM J. Matrix Anal. Appl., 2018)

Fast Computation of the Matrix Exponential for a Toeplitz Matrix. - Daniel Kressner; Robert Luce (SIAM J. Matrix Anal. Appl., 2018)

Subspace Acceleration for the Crawford Number and Related Eigenvalue Optimization Problems. - Daniel Kressner; Ding Lu; Bart Vandereycken (SIAM J. Matrix Anal. Appl., 2018)

Distributed Signal Processing via Chebyshev Polynomial Approximation. - David I. Shuman; Pierre Vandergheynst; Daniel Kressner; Pascal Frossard (IEEE Trans. Signal Inf. Process. over Networks, 2018)

On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices. - Alice Cortinovis; Daniel Kressner; Stefano Massei (CoRR, 2019)

Low-Rank Updates and a Divide-And-Conquer Method for Linear Matrix Equations. - Daniel Kressner; Stefano Massei; Leonardo Robol (SIAM J. Sci. Comput., 2019)

Quasi-Optimal Sampling to Learn Basis Updates for Online Adaptive Model Reduction with Adaptive Empirical Interpolation. - Alice Cortinovis; Daniel Kressner; Stefano Massei; Benjamin Peherstorfer (ACC, 2020)

Certified and fast computations with shallow covariance kernels. - Daniel Kressner; Jonas Latz; Stefano Massei; Elisabeth Ullmann (CoRR, 2020)

Limited-memory polynomial methods for large-scale matrix functions. - Stefan Güttel; Daniel Kressner; Kathryn Lund (CoRR, 2020)

A bivariate extension of the Crouzeix-Palencia result with an application to Fréchet derivatives of matrix functions. - Michel Crouzeix; Daniel Kressner (CoRR, 2020)

Recursive blocked algorithms for linear systems with Kronecker product structure. - Minhong Chen; Daniel Kressner (Numer. Algorithms, 2020)

Low-rank updates and divide-and-conquer methods for quadratic matrix equations. - Daniel Kressner; Patrick Kürschner; Stefano Massei (Numer. Algorithms, 2020)

Low-Rank Tensor Approximation for Chebyshev Interpolation in Parametric Option Pricing. - Kathrin Glau; Daniel Kressner; Francesco Statti (SIAM J. Financial Math., 2020)

Low-Rank Approximation in the Frobenius Norm by Column and Row Subset Selection. - Alice Cortinovis; Daniel Kressner (SIAM J. Matrix Anal. Appl., 2020)

hm-toolbox: MATLAB Software for HODLR and HSS Matrices. - Stefano Massei; Leonardo Robol; Daniel Kressner (SIAM J. Sci. Comput., 2020)

Computing low-rank rightmost eigenpairs of a class of matrix-valued linear operators. - Nicola Guglielmi; Daniel Kressner; Carmela Scalone (Adv. Comput. Math., 2021)

A Flexible Power Method for Solving Infinite Dimensional Tensor Eigenvalue Problems. - Roel Van Beeumen; Lana Perisa; Daniel Kressner; Chao Yang 001 (CoRR, 2021)

Hierarchical adaptive low-rank format with applications to discretized PDEs. - Stefano Massei; Leonardo Robol; Daniel Kressner (CoRR, 2021)

Fast global spectral methods for three-dimensional partial differential equations. - Christoph Strössner; Daniel Kressner (CoRR, 2021)

Compress-and-restart block Krylov subspace methods for Sylvester matrix equations. - Daniel Kressner; Kathryn Lund; Stefano Massei; Davide Palitta (Numer. Linear Algebra Appl., 2021)

A fast spectral divide-and-conquer method for banded matrices. - Ana Susnjara; Daniel Kressner (Numer. Linear Algebra Appl., 2021)

Norm and Trace Estimation with Random Rank-one Vectors. - Zvonimir Bujanovic; Daniel Kressner (SIAM J. Matrix Anal. Appl., 2021)

Low-Rank Updates of Matrix Functions II: Rational Krylov Methods. - Bernhard Beckermann; Alice Cortinovis; Daniel Kressner; Marcel Schweitzer (SIAM J. Numer. Anal., 2021)

Functional Tucker Approximation Using Chebyshev Interpolation. - Sergey Dolgov; Daniel Kressner; Christoph Strössner (SIAM J. Sci. Comput., 2021)

Low-rank tensor approximations for solving multi-marginal optimal transport problems. - Christoph Strössner; Daniel Kressner (CoRR, 2022)

Improved parallel-in-time integration via low-rank updates and interpolation. - Daniel Kressner; Stefano Massei; Junli Zhu (CoRR, 2022)

Singular quadratic eigenvalue problems: Linearization and weak condition numbers. - Daniel Kressner; Ivana Sain Glibic (CoRR, 2022)

Hermite interpolation with retractions on manifolds. - Axel Séguin; Daniel Kressner (CoRR, 2022)

Speeding up Krylov subspace methods for computing f(A)b via randomization. - Alice Cortinovis; Daniel Kressner; Yuji Nakatsukasa (CoRR, 2022)

On Randomized Trace Estimates for Indefinite Matrices with an Application to Determinants. - Alice Cortinovis; Daniel Kressner (Found. Comput. Math., 2022)

Hierarchical adaptive low-rank format with applications to discretized partial differential equations. - Stefano Massei; Leonardo Robol; Daniel Kressner (Numer. Linear Algebra Appl., 2022)

Continuation Methods for Riemannian Optimization. - Axel Séguin; Daniel Kressner (SIAM J. Optim., 2022)

Divide-and-Conquer Methods for Functions of Matrices with Banded or Hierarchical Low-Rank Structure. - Alice Cortinovis; Daniel Kressner; Stefano Massei (SIAM J. Matrix Anal. Appl., 2022)

Improved Variants of the Hutch++ Algorithm for Trace Estimation. - David Persson; Alice Cortinovis; Daniel Kressner (SIAM J. Matrix Anal. Appl., 2022)

On the approximation of vector-valued functions by samples. - Daniel Kressner; Tingting Ni; André Uschmajew (CoRR, 2023)

Analysis of a class of randomized numerical methods for singular matrix pencils. - Daniel Kressner; Bor Plestenjak (CoRR, 2023)

From low-rank retractions to dynamical low-rank approximation and back. - Axel Séguin; Gianluca Ceruti; Daniel Kressner (CoRR, 2023)

Iterative refinement of Schur decompositions. - Zvonimir Bujanovic; Daniel Kressner; Christian Schröder (Numer. Algorithms, 2023)

Low-Rank Tensor Approximations for Solving Multimarginal Optimal Transport Problems. - Christoph Strössner; Daniel Kressner (SIAM J. Imaging Sci., 2023)

Randomized Low-Rank Approximation of Monotone Matrix Functions. - David Persson; Daniel Kressner (SIAM J. Matrix Anal. Appl., 2023)

Improved ParaDiag via low-rank updates and interpolation. - Daniel Kressner; Stefano Massei; Junli Zhu (Numerische Mathematik, 2023)

Streaming Tensor Train Approximation. - Daniel Kressner; Bart Vandereycken; Rik Voorhaar (SIAM J. Sci. Comput., 2023)

A mixed precision LOBPCG algorithm. - Daniel Kressner; Yuxin Ma; Meiyue Shao (Numer. Algorithms, 2023)

A randomized algorithm for simultaneously diagonalizing symmetric matrices by congruence. - Haoze He; Daniel Kressner (CoRR, 2024)

Randomized Nyström approximation of non-negative self-adjoint operators. - David Persson; Nicolas Boullé; Daniel Kressner (CoRR, 2024)

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

A simple, randomized algorithm for diagonalizing normal matrices. - Haoze He; Daniel Kressner (CoRR, 2024)

A randomized small-block Lanczos method for large-scale null space computations. - Daniel Kressner; Nian Shao (CoRR, 2024)

Randomized methods for computing joint eigenvalues, with applications to multiparameter eigenvalue problems and root finding. - Haoze He; Daniel Kressner; Bor Plestenjak (CoRR, 2024)

Adaptive randomized pivoting for column subset selection, DEIM, and low-rank approximation. - Alice Cortinovis; Daniel Kressner (CoRR, 2024)

A preconditioned inverse iteration with an improved convergence guarantee. - Foivos Alimisis; Daniel Kressner; Nian Shao; Bart Vandereycken (CoRR, 2024)

Computing Functions of Symmetric Hierarchically Semiseparable Matrices. - Angelo A. Casulli; Daniel Kressner; Leonardo Robol (SIAM J. Matrix Anal. Appl., 2024)

Randomized Sketching of Nonlinear Eigenvalue Problems. - Stefan Güttel; Daniel Kressner; Bart Vandereycken (SIAM J. Sci. Comput., 2024)

Speeding Up Krylov Subspace Methods for Computing ( boldsymbol{{f}(A){b}} ) via Randomization. - Alice Cortinovis; Daniel Kressner; Yuji Nakatsukasa (SIAM J. Matrix Anal. Appl., 2024)

Randomized Joint Diagonalization of Symmetric Matrices. - Haoze He; Daniel Kressner (SIAM J. Matrix Anal. Appl., 2024)

Approximation in the extended functional tensor train format. - Christoph Strössner; Bonan Sun; Daniel Kressner (Adv. Comput. Math., 2024)

Subspace Acceleration for a Sequence of Linear Systems and Application to Plasma Simulation. - Margherita Guido; Daniel Kressner; Paolo Ricci (J. Sci. Comput., 2024)

Solving a class of infinite-dimensional tensor eigenvalue problems by translational invariant tensor ring approximations. - Roel Van Beeumen; Lana Perisa; Daniel Kressner; Chao Yang 001 (Numer. Linear Algebra Appl., 2024)

Randomized low-rank approximation of parameter-dependent matrices. - Daniel Kressner; Hei Yin Lam (Numer. Linear Algebra Appl., 2024)

On the approximation of vector-valued functions by volume sampling. - Daniel Kressner; Tingting Ni; André Uschmajew (J. Complex., 2025)

Randomized Low-Rank Runge-Kutta Methods. - Hei Yin Lam; Gianluca Ceruti; Daniel Kressner (SIAM J. Matrix Anal. Appl., 2025)

Preconditioned Low-Rank Riemannian Optimization for Symmetric Positive Definite Linear Matrix Equations. - Ivan Bioli; Daniel Kressner; Leonardo Robol (SIAM J. Sci. Comput., 2025)

Low-Rank Tree Tensor Network Operators for Long-Range Pairwise Interactions. - Gianluca Ceruti; Daniel Kressner; Dominik Sulz (SIAM J. Sci. Comput., 2025)

Compression Properties for large Toeplitz-like matrices. - Bernhard Beckermann; Daniel Kressner; Heather Wilber (CoRR, 2025)

Stochastic trace estimation for parameter-dependent matrices applied to spectral density approximation. - Fabio Matti; Haoze He; Daniel Kressner; Hei Yin Lam (CoRR, 2025)

Lanczos with compression for symmetric matrix Lyapunov equations. - Angelo A. Casulli; Francesco Hrobat; Daniel Kressner (CoRR, 2025)

On the randomized SVD in infinite dimensions. - Daniel Kressner; David Persson; André Uschmajew (CoRR, 2025)