Daniel Kressner

Orcid: 0000-0003-3369-2958

According to our database1, Daniel Kressner authored at least 127 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Randomized Joint Diagonalization of Symmetric Matrices.
SIAM J. Matrix Anal. Appl., March, 2024

Speeding Up Krylov Subspace Methods for Computing \(\boldsymbol{{f}(A){b}}\) via Randomization.
SIAM J. Matrix Anal. Appl., March, 2024

Computing Functions of Symmetric Hierarchically Semiseparable Matrices.
CoRR, 2024

A randomized algorithm for simultaneously diagonalizing symmetric matrices by congruence.
CoRR, 2024

2023
A mixed precision LOBPCG algorithm.
Numer. Algorithms, December, 2023

Streaming Tensor Train Approximation.
SIAM J. Sci. Comput., October, 2023

Improved ParaDiag via low-rank updates and interpolation.
Numerische Mathematik, October, 2023

Randomized Low-Rank Approximation of Monotone Matrix Functions.
SIAM J. Matrix Anal. Appl., June, 2023

Low-Rank Tensor Approximations for Solving Multimarginal Optimal Transport Problems.
SIAM J. Imaging Sci., March, 2023

Iterative refinement of Schur decompositions.
Numer. Algorithms, January, 2023

From low-rank retractions to dynamical low-rank approximation and back.
CoRR, 2023

Subspace Acceleration for a Sequence of Linear Systems and Application to Plasma Simulation.
CoRR, 2023

Analysis of a class of randomized numerical methods for singular matrix pencils.
CoRR, 2023

On the approximation of vector-valued functions by samples.
CoRR, 2023

Randomized low-rank approximation of parameter-dependent matrices.
CoRR, 2023

2022
Improved Variants of the Hutch++ Algorithm for Trace Estimation.
SIAM J. Matrix Anal. Appl., 2022

Divide-and-Conquer Methods for Functions of Matrices with Banded or Hierarchical Low-Rank Structure.
SIAM J. Matrix Anal. Appl., 2022

Continuation Methods for Riemannian Optimization.
SIAM J. Optim., 2022

Hierarchical adaptive low-rank format with applications to discretized partial differential equations.
Numer. Linear Algebra Appl., 2022

On Randomized Trace Estimates for Indefinite Matrices with an Application to Determinants.
Found. Comput. Math., 2022

Speeding up Krylov subspace methods for computing f(A)b via randomization.
CoRR, 2022

Hermite interpolation with retractions on manifolds.
CoRR, 2022

Randomized sketching of nonlinear eigenvalue problems.
CoRR, 2022

Approximation in the extended functional tensor train format.
CoRR, 2022

Singular quadratic eigenvalue problems: Linearization and weak condition numbers.
CoRR, 2022

Improved parallel-in-time integration via low-rank updates and interpolation.
CoRR, 2022

Low-rank tensor approximations for solving multi-marginal optimal transport problems.
CoRR, 2022

2021
Functional Tucker Approximation Using Chebyshev Interpolation.
SIAM J. Sci. Comput., 2021

Low-Rank Updates of Matrix Functions II: Rational Krylov Methods.
SIAM J. Numer. Anal., 2021

Norm and Trace Estimation with Random Rank-one Vectors.
SIAM J. Matrix Anal. Appl., 2021

A fast spectral divide-and-conquer method for banded matrices.
Numer. Linear Algebra Appl., 2021

Compress-and-restart block Krylov subspace methods for Sylvester matrix equations.
Numer. Linear Algebra Appl., 2021

Fast global spectral methods for three-dimensional partial differential equations.
CoRR, 2021

Hierarchical adaptive low-rank format with applications to discretized PDEs.
CoRR, 2021

A Flexible Power Method for Solving Infinite Dimensional Tensor Eigenvalue Problems.
CoRR, 2021

Computing low-rank rightmost eigenpairs of a class of matrix-valued linear operators.
Adv. Comput. Math., 2021

2020
hm-toolbox: MATLAB Software for HODLR and HSS Matrices.
SIAM J. Sci. Comput., 2020

Low-Rank Approximation in the Frobenius Norm by Column and Row Subset Selection.
SIAM J. Matrix Anal. Appl., 2020

Low-Rank Tensor Approximation for Chebyshev Interpolation in Parametric Option Pricing.
SIAM J. Financial Math., 2020

Low-rank updates and divide-and-conquer methods for quadratic matrix equations.
Numer. Algorithms, 2020

Recursive blocked algorithms for linear systems with Kronecker product structure.
Numer. Algorithms, 2020

A bivariate extension of the Crouzeix-Palencia result with an application to Fréchet derivatives of matrix functions.
CoRR, 2020

Limited-memory polynomial methods for large-scale matrix functions.
CoRR, 2020

Certified and fast computations with shallow covariance kernels.
CoRR, 2020

Quasi-Optimal Sampling to Learn Basis Updates for Online Adaptive Model Reduction with Adaptive Empirical Interpolation.
Proceedings of the 2020 American Control Conference, 2020

2019
Low-Rank Updates and a Divide-And-Conquer Method for Linear Matrix Equations.
SIAM J. Sci. Comput., 2019

On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices.
CoRR, 2019

2018
Distributed Signal Processing via Chebyshev Polynomial Approximation.
IEEE Trans. Signal Inf. Process. over Networks, 2018

Subspace Acceleration for the Crawford Number and Related Eigenvalue Optimization Problems.
SIAM J. Matrix Anal. Appl., 2018

Fast Computation of the Matrix Exponential for a Toeplitz Matrix.
SIAM J. Matrix Anal. Appl., 2018

A Householder-Based Algorithm for Hessenberg-Triangular Reduction.
SIAM J. Matrix Anal. Appl., 2018

Low-Rank Updates of Matrix Functions.
SIAM J. Matrix Anal. Appl., 2018

7th Workshop on Matrix Equations and Tensor Techniques.
Numer. Linear Algebra Appl., 2018

2017
Learning Heat Diffusion Graphs.
IEEE Trans. Signal Inf. Process. over Networks, 2017

Recompression of Hadamard Products of Tensors in Tucker Format.
SIAM J. Sci. Comput., 2017

Fast Computation of Spectral Projectors of Banded Matrices.
SIAM J. Matrix Anal. Appl., 2017

Structure-Preserving Low Multilinear Rank Approximation of Antisymmetric Tensors.
SIAM J. Matrix Anal. Appl., 2017

A Novel Iterative Method To Approximate Structured Singular Values.
SIAM J. Matrix Anal. Appl., 2017

Perturbation of Higher-Order Singular Values.
SIAM J. Appl. Algebra Geom., 2017

2016
Preconditioned Low-rank Riemannian Optimization for Linear Systems with Tensor Product Structure.
SIAM J. Sci. Comput., 2016

Reduced Basis Methods: From Low-Rank Matrices to Low-Rank Tensors.
SIAM J. Sci. Comput., 2016

Subspace Acceleration for Large-Scale Parameter-Dependent Hermitian Eigenproblems.
SIAM J. Matrix Anal. Appl., 2016

Parallel algorithms for tensor completion in the CP format.
Parallel Comput., 2016

A block algorithm for computing antitriangular factorizations of symmetric matrices.
Numer. Algorithms, 2016

Projection methods for large-scale T-Sylvester equations.
Math. Comput., 2016

2015
Algorithm 953: Parallel Library Software for the Multishift QR Algorithm with Aggressive Early Deflation.
ACM Trans. Math. Softw., 2015

Low rank differential equations for Hamiltonian matrix nearness problems.
Numerische Mathematik, 2015

Truncated low-rank methods for solving general linear matrix equations.
Numer. Linear Algebra Appl., 2015

Low-Rank Tensor Approximation for High-Order Correlation Functions of Gaussian Random Fields.
SIAM/ASA J. Uncertain. Quantification, 2015

2014
Algorithm 941: htucker - A Matlab Toolbox for Tensors in Hierarchical Tucker Format.
ACM Trans. Math. Softw., 2014

Optimally packed chains of bulges in multishift QR algorithms.
ACM Trans. Math. Softw., 2014

Low-Rank Tensor Methods with Subspace Correction for Symmetric Eigenvalue Problems.
SIAM J. Sci. Comput., 2014

A Parallel QZ Algorithm for Distributed Memory HPC Systems.
SIAM J. Sci. Comput., 2014

Subspace Methods for Computing the Pseudospectral Abscissa and the Stability Radius.
SIAM J. Matrix Anal. Appl., 2014

Nonlinear Eigenvalue Problems with Specified Eigenvalues.
SIAM J. Matrix Anal. Appl., 2014

On a Perturbation Bound for Invariant Subspaces of Matrices.
SIAM J. Matrix Anal. Appl., 2014

Computing Extremal Points of Symplectic Pseudospectra and Solving Symplectic Matrix Nearness Problems.
SIAM J. Matrix Anal. Appl., 2014

On the eigenvalue decay of solutions to operator Lyapunov equations.
Syst. Control. Lett., 2014

Memory-efficient Arnoldi algorithms for linearizations of matrix polynomials in Chebyshev basis.
Numer. Linear Algebra Appl., 2014

A preconditioned low-rank CG method for parameter-dependent Lyapunov matrix equations.
Numer. Linear Algebra Appl., 2014

An indefinite variant of LOBPCG for definite matrix pencils.
Numer. Algorithms, 2014

Low-Rank Tensor Methods for Communicating Markov Processes.
Proceedings of the Quantitative Evaluation of Systems - 11th International Conference, 2014

2013
An Error Analysis of Galerkin Projection Methods for Linear Systems with Tensor Product Structure.
SIAM J. Numer. Anal., 2013

2012
New SLICOT routines based on structured eigensolvers.
Proceedings of the IEEE International Conference on Control Applications, 2012

2011
Optimal Image Alignment With Random Projections of Manifolds: Algorithm and Geometric Analysis.
IEEE Trans. Image Process., 2011

Low-Rank Tensor Krylov Subspace Methods for Parametrized Linear Systems.
SIAM J. Matrix Anal. Appl., 2011

A mixed-precision algorithm for the solution of Lyapunov equations on hybrid CPU-GPU platforms.
Parallel Comput., 2011

Continuation of eigenvalues and invariant pairs for parameterized nonlinear eigenvalue problems.
Numerische Mathematik, 2011

Condensed forms for the symmetric eigenvalue problem on multi-threaded architectures.
Concurr. Comput. Pract. Exp., 2011

Preconditioned Low-Rank Methods for High-Dimensional Elliptic PDE Eigenvalue Problems.
Comput. Methods Appl. Math., 2011

Fusion of Digital Elevation Models Using Sparse Representations.
Proceedings of the Photogrammetric Image Analysis - ISPRS Conference, 2011

Optimal similarity registration of volumetric images.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
A Novel Parallel QR Algorithm for Hybrid Distributed Memory HPC Systems.
SIAM J. Sci. Comput., 2010

Krylov Subspace Methods for Linear Systems with Tensor Product Structure.
SIAM J. Matrix Anal. Appl., 2010

On the computation of structured singular values and pseudospectra.
Syst. Control. Lett., 2010

Die SLICOT-Toolboxen für Matlab (The SLICOT Toolboxes for Matlab).
Autom., 2010

On Aggressive Early Deflation in Parallel Variants of the QR Algorithm.
Proceedings of the Applied Parallel and Scientific Computing, 2010

Accelerating Model Reduction of Large Linear Systems with Graphics Processors.
Proceedings of the Applied Parallel and Scientific Computing, 2010

On the Curvature of Pattern Transformation Manifolds: Numerical Estimation and Applications.
Proceedings of the Manifold Learning and Its Applications, 2010

2009
Structured Hölder Condition Numbers for Multiple Eigenvalues.
SIAM J. Matrix Anal. Appl., 2009

On the structured distance to uncontrollability.
Syst. Control. Lett., 2009

A block Newton method for nonlinear eigenvalue problems.
Numerische Mathematik, 2009

Implicit QR algorithms for palindromic and even eigenvalue problems.
Numer. Algorithms, 2009

Parallel eigenvalue reordering in real Schur forms.
Concurr. Comput. Pract. Exp., 2009

Reduction to Condensed Forms for Symmetric Eigenvalue Problems on Multi-core Architectures.
Proceedings of the Parallel Processing and Applied Mathematics, 2009

Optimal image alignment with random measurements.
Proceedings of the 17th European Signal Processing Conference, 2009

2008
Block variants of Hammarling's method for solving Lyapunov equations.
ACM Trans. Math. Softw., 2008

The Effect of Aggressive Early Deflation on the Convergence of the QR Algorithm.
SIAM J. Matrix Anal. Appl., 2008

Memory-efficient Krylov subspace techniques for solving large-scale Lyapunov equations.
Proceedings of the IEEE International Conference on Computer-Aided Control Systems, 2008

A parallel Schur method for solving continuous-time algebraic Riccati equations.
Proceedings of the IEEE International Conference on Computer-Aided Control Systems, 2008

2007
MATLAB tools for solving periodic eigenvalue problems.
Proceedings of the 3rd IFAC Workshop on Periodic Control Systems, 2007

2006
Block algorithms for reordering standard and generalized schur forms.
ACM Trans. Math. Softw., 2006

Algorithm 854: Fortran 77 subroutines for computing the eigenvalues of Hamiltonian matrices II.
ACM Trans. Math. Softw., 2006

Structured Eigenvalue Condition Numbers.
SIAM J. Matrix Anal. Appl., 2006

Multishift Variants of the QZ Algorithm with Aggressive Early Deflation.
SIAM J. Matrix Anal. Appl., 2006

Structured Condition Numbers for Invariant Subspaces.
SIAM J. Matrix Anal. Appl., 2006

A periodic Krylov-Schur algorithm for large matrix products.
Numerische Mathematik, 2006

Recent Advances in Dense Linear Algebra: Minisymposium Abstract.
Proceedings of the Applied Parallel Computing. State of the Art in Scientific Computing, 2006

Parallel Variants of the Multishift QZ Algorithm with Advanced Deflation Techniques.
Proceedings of the Applied Parallel Computing. State of the Art in Scientific Computing, 2006

Structure-preserving eigenvalue solvers for robust stability and controllability estimates.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2005
Numerical Methods for General and Structured Eigenvalue Problems.
Lecture Notes in Computational Science and Engineering 46, Springer, ISBN: 978-3-540-28502-1, 2005

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

Le retard en convergence des dérivées pour les calculs itératifs avec point fixe.
ARIMA J., 2005

New Hamiltonian Eigensolvers with Applications in Control.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2003
Structure preservation: a challenge in computational control.
Future Gener. Comput. Syst., 2003

Large periodic Lyapunov equations: Algorithms and applications.
Proceedings of the 7th European Control Conference, 2003

2002
Semi-automatic Generation of Web-Based Computing Environments for Software Libraries.
Proceedings of the Computational Science - ICCS 2002, 2002


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