Daniel Kressner
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German numerical analyst
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Daniel Kressnermathematics Degrees
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Mathematics
Daniel Kressner's Degrees
- PhD Mathematics University of Basel
- Masters Mathematics University of Basel
Why Is Daniel Kressner Influential?
(Suggest an Edit or Addition)According to Wikipedia, Daniel Kressner is a German numerical analyst. He has a Chair of Numerical Algorithms and High Performance Computing in the Institute of Mathematics at EPF Lausanne. Education and career Kressner was born in Karl-Marx-Stadt. He studied Mathematics at TU Chemnitz from 1997 to 2001 and gained his PhD from TU Berlin in 2004. His PhD thesis was supervised by Volker Mehrmann. He was appointed assistant professor in Applied Mathematics at ETH Zurich in 2007. In 2011 he was appointed tenure-track assistant professor in Mathematics at EPF Lausanne, where he became associate professor in 2012 and full professor in 2017. Kressner held visiting positions as an Emmy Noether Fellow of the DFG at the University of Zagreb in 2005 and Umeå University in 2006. In 2018 he was the John von Neumann visiting professor at TU Munich.
Daniel Kressner's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- A literature survey of low‐rank tensor approximation techniques (2013) (611)
- Low-rank tensor completion by Riemannian optimization (2014) (283)
- Low-Rank Tensor Krylov Subspace Methods for Parametrized Linear Systems (2011) (192)
- Krylov Subspace Methods for Linear Systems with Tensor Product Structure (2010) (176)
- Numerical Methods for General and Structured Eigenvalue Problems (2005) (160)
- Block variants of Hammarling's method for solving Lyapunov equations (2008) (127)
- A block Newton method for nonlinear eigenvalue problems (2009) (122)
- Learning Heat Diffusion Graphs (2016) (120)
- Implicit QR algorithms for palindromic and even eigenvalue problems (2009) (100)
- Distributed Signal Processing via Chebyshev Polynomial Approximation (2011) (99)
- Chebyshev interpolation for nonlinear eigenvalue problems (2012) (82)
- Parallel algorithms for tensor completion in the CP format (2016) (81)
- Preconditioned Low-Rank Methods for High-Dimensional Elliptic PDE Eigenvalue Problems (2011) (75)
- Low-Rank Tensor Methods with Subspace Correction for Symmetric Eigenvalue Problems (2014) (74)
- Structured Eigenvalue Condition Numbers (2006) (73)
- Algorithm 941 (2014) (70)
- Skew-Hamiltonian and Hamiltonian Eigenvalue Problems: Theory, Algorithms and Applications (2005) (59)
- Accelerated filtering on graphs using Lanczos method (2015) (55)
- Structured Condition Numbers for Invariant Subspaces (2006) (49)
- Fusion of Digital Elevation Models Using Sparse Representations (2011) (47)
- Algorithm 941: htucker - A Matlab Toolbox for Tensors in Hierarchical Tucker Format (2014) (47)
- A fast algorithm for subspace state-space system identification via exploitation of the displacement structure (2001) (45)
- Subspace Methods for Computing the Pseudospectral Abscissa and the Stability Radius (2014) (44)
- Computing periodic deflating subspaces associated with a specified set of eigenvalues (2007) (43)
- Blocked algorithms for the reduction to Hessenberg-triangular form revisited (2008) (43)
- Multishift Variants of the QZ Algorithm with Aggressive Early Deflation (2006) (40)
- On the computation of structured singular values and pseudospectra (2010) (39)
- Preconditioned Low-rank Riemannian Optimization for Linear Systems with Tensor Product Structure (2015) (39)
- An Efficient and Reliable Implementation of the Periodic QZ Algorithm (2001) (38)
- On the Condition of a Complex Eigenvalue under Real Perturbations (2004) (38)
- A mixed-precision algorithm for the solution of Lyapunov equations on hybrid CPU-GPU platforms (2011) (37)
- On the structured distance to uncontrollability (2009) (36)
- A Novel Parallel QR Algorithm for Hybrid Distributed Memory HPC Systems (2010) (35)
- Perturbation, extraction and refinement of invariant pairs for matrix polynomials (2011) (34)
- Low rank differential equations for Hamiltonian matrix nearness problems (2015) (33)
- Algorithm 854: Fortran 77 subroutines for computing the eigenvalues of Hamiltonian matrices II (2005) (33)
- Numerical Methods and Software for General and Structured Eigenvalue Problems (2004) (33)
- On low-rank approximability of solutions to high-dimensional operator equations and eigenvalue problems (2014) (32)
- Memory‐efficient Arnoldi algorithms for linearizations of matrix polynomials in Chebyshev basis (2014) (32)
- An indefinite variant of LOBPCG for definite matrix pencils (2014) (32)
- Low-Rank Tensor Methods for Communicating Markov Processes (2014) (31)
- Structured Eigenvalue Problems (2006) (31)
- Block algorithms for reordering standard and generalized Schur forms (2006) (30)
- Structured Hölder Condition Numbers for Multiple Eigenvalues (2009) (30)
- Reduction to Condensed Forms for Symmetric Eigenvalue Problems on Multi-core Architectures (2009) (30)
- The Multishift QZ Algorithm with Aggressive Early Deflation ? (2006) (29)
- Generalized eigenvalue problems with specified eigenvalues (2010) (29)
- Continuation of eigenvalues and invariant pairs for parameterized nonlinear eigenvalue problems (2011) (29)
- Large periodic Lyapunov equations: Algorithms and applications (2003) (29)
- Linearization techniques for band structure calculations in absorbing photonic crystals (2012) (28)
- A preconditioned low‐rank CG method for parameter‐dependent Lyapunov matrix equations (2014) (28)
- Low-Rank Updates and a Divide-And-Conquer Method for Linear Matrix Equations (2017) (28)
- On Randomized Trace Estimates for Indefinite Matrices with an Application to Determinants (2020) (27)
- Numerical Algebra, Matrix Theory, Differential-Algebraic Equations and Control Theory (2015) (27)
- Fast Computation of the Matrix Exponential for a Toeplitz Matrix (2016) (25)
- Truncated low‐rank methods for solving general linear matrix equations (2015) (25)
- The periodic QR algorithm is a disguised QR algorithm (2006) (24)
- Algorithm 953 (2015) (24)
- Die SLICOT-Toolboxen für MatlabThe SLICOT Toolboxes for Matlab (2010) (23)
- A periodic Krylov-Schur algorithm for large matrix products (2006) (23)
- Condensed forms for the symmetric eigenvalue problem on multi‐threaded architectures (2011) (23)
- MATLAB tools for solving periodic eigenvalue problems (2007) (22)
- Subspace Acceleration for Large-Scale Parameter-Dependent Hermitian Eigenproblems (2015) (22)
- On the eigenvalue decay of solutions to operator Lyapunov equations (2014) (21)
- A Web Computing Environment for the SLICOT Library (2001) (20)
- Parallel eigenvalue reordering in real Schur forms (2009) (20)
- Structured eigenvalue condition numbers and linearizations for matrix polynomials (2011) (20)
- Low-rank updates of matrix functions (2017) (19)
- Exploiting Hidden Structure in Matrix Computations: Algorithms and Applications (2016) (19)
- Parallel Variants of the Multishift QZ Algorithm with Advanced Deflation Techniques (2006) (18)
- Low-Rank Tensor Approximation for Chebyshev Interpolation in Parametric Option Pricing (2019) (18)
- hm-toolbox: Matlab software for HODLR and HSS matrices (2019) (17)
- Low-rank approximation in the Frobenius norm by column and row subset selection (2019) (17)
- Structure preservation: a challenge in computational control (2003) (16)
- Recompression of Hadamard Products of Tensors in Tucker Format (2017) (16)
- Time-lag in Derivative Convergence for Fixed Point Iterations (2005) (16)
- Optimal Image Alignment With Random Projections of Manifolds: Algorithm and Geometric Analysis (2011) (16)
- Reordering the eigenvalues of a periodic matrix pair with applications in control (2006) (16)
- An Error Analysis of Galerkin Projection Methods for Linear Systems with Tensor Product Structure (2013) (16)
- Memory-efficient Krylov subspace techniques for solving large-scale Lyapunov equations (2008) (15)
- Matrices with Hierarchical Low-Rank Structures (2016) (15)
- Factorizations and linear system solvers for matrices with Toeplitz structure (2001) (15)
- On a Perturbation Bound for Invariant Subspaces of Matrices (2014) (15)
- A Parallel QZ Algorithm for Distributed Memory HPC Systems (2014) (14)
- New Hamiltonian Eigensolvers with Applications in Control (2005) (14)
- Tensor train approximation of moment equations for elliptic equations with lognormal coefficient (2016) (14)
- Interpolation‐based solution of a nonlinear eigenvalue problem in fluid‐structure interaction (2012) (14)
- CTLEX - a Collection of Benchmark Examples for Continuous-Time Lyapunov Equations (1999) (13)
- Bivariate Matrix Functions (2014) (13)
- On Aggressive Early Deflation in Parallel Variants of the QR Algorithm (2010) (13)
- Low-Rank Tensor Approximation for High-Order Correlation Functions of Gaussian Random Fields (2015) (13)
- The Effect of Aggressive Early Deflation on the Convergence of the QR Algorithm (2008) (13)
- Fast Computation of Spectral Projectors of Banded Matrices (2016) (12)
- A Novel Iterative Method To Approximate Structured Singular Values (2016) (12)
- Recursive blocked algorithms for linear systems with Kronecker product structure (2019) (11)
- Improved variants of the Hutch++ algorithm for trace estimation (2021) (11)
- Subspace Acceleration for the Crawford Number and Related Eigenvalue Optimization Problems (2018) (11)
- A Krylov Subspace Method for the Approximation of Bivariate Matrix Functions (2018) (11)
- Perturbation Bounds for Isotropic Invariant Subspaces of Skew-Hamiltonian Matrices (2005) (11)
- Optimally packed chains of bulges in multishift QR algorithms (2014) (10)
- On the use of larger bulges in the QR algorithm (2005) (10)
- Accelerating Model Reduction of Large Linear Systems with Graphics Processors (2010) (10)
- Projection methods for large-scale T-Sylvester equations (2016) (10)
- Limited‐memory polynomial methods for large‐scale matrix functions (2020) (10)
- Algorithm 953: Parallel Library Software for the Multishift QR Algorithm with Aggressive Early Deflation (2015) (10)
- Distance Problems for Linear Dynamical Systems (2015) (9)
- Finding the distance to instability of a large sparse matrix (2006) (9)
- Multilevel tensor approximation of PDEs with random data (2016) (9)
- Block Algorithms for Orthogonal Symplectic Factorizations (2003) (9)
- COMPUTING CODIMENSIONS AND GENERIC CANONICAL FORMS FOR GENERALIZED MATRIX PRODUCTS (2011) (9)
- Perturbation of Higher-Order Singular Values (2017) (9)
- Reduced Basis Methods: From Low-Rank Matrices to Low-Rank Tensors (2016) (8)
- Sparse Inverse Covariance Estimation with Hierarchical Matrices (2014) (8)
- Incremental computation of block triangular matrix exponentials with application to option pricing (2017) (8)
- CTDSX - a Collection of Benchmark Examples for State-Space Realizations of Continuous-Time Dynamical (1998) (8)
- On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices (2019) (7)
- Norm and trace estimation with random rank-one vectors (2020) (7)
- Functional Tucker approximation using Chebyshev interpolation (2020) (7)
- A parallel Schur method for solving continuous-time algebraic Riccati equations (2008) (7)
- Multigrid methods combined with low-rank approximation for tensor structured Markov chains (2016) (7)
- Numerical Methods for Structured Matrix Factorizations (2001) (7)
- Structure-Preserving Low Multilinear Rank Approximation of Antisymmetric Tensors (2016) (6)
- Computing Extremal Points of Symplectic Pseudospectra and Solving Symplectic Matrix Nearness Problems (2014) (5)
- Continuation Methods for Riemannian Optimization (2021) (5)
- Structured Canonical Forms For Products Of (Skew-) Symmetric Matrices And The Matrix Equation XAX = B (2013) (5)
- Optimal similarity registration of volumetric images (2011) (5)
- Certified and fast computations with shallow covariance kernels (2020) (5)
- Fast QR decomposition of HODLR matrices (2018) (5)
- Low-rank updates of matrix functions II: Rational Krylov methods (2020) (5)
- Structure-preserving eigenvalue solvers for robust stability and controllability estimates (2006) (4)
- The SLICOT Toolboxes – a Survey (2006) (4)
- Fast global spectral methods for three-dimensional partial differential equations (2021) (4)
- Singular quadratic eigenvalue problems: linearization and weak condition numbers (2022) (4)
- A bivariate extension of the Crouzeix-Palencia result with an application to Fréchet derivatives of matrix functions (2020) (4)
- Numerical Mathematics and Advanced Applications - ENUMATH 2013 - Proceedings of ENUMATH 2013, the 10th European Conference on Numerical Mathematics and Advanced Applications, Lausanne, Switzerland, August 2013 (2014) (4)
- A block algorithm for computing antitriangular factorizations of symmetric matrices (2015) (4)
- Greedy low-rank methods for solving general linear matrix equations ‡ (2014) (4)
- Optimal image alignment with random measurements (2009) (3)
- Perturbation , Computation and Refinement of Invariant Pairs for Matrix Polynomials (2009) (3)
- A fast spectral divide‐and‐conquer method for banded matrices (2018) (3)
- New SLICOT routines based on structured eigensolvers (2012) (3)
- N A ] 23 S ep 2 01 5 Accelerated filtering on graphs using Lanczos method (2018) (3)
- Deflation in Krylov subspace methods and distance to uncontrollability (2007) (3)
- Low-rank updates and divide-and-conquer methods for quadratic matrix equations (2019) (3)
- Computing low-rank rightmost eigenpairs of a class of matrix-valued linear operators (2021) (3)
- A Householder-Based Algorithm for Hessenberg-Triangular Reduction (2017) (3)
- DTDSX - a Collection of Benchmark Examples for State-Space Realizations of Discrete-Time Dynamical S (1998) (3)
- Divide and conquer methods for functions of matrices with banded or hierarchical low-rank structure (2021) (3)
- Nonlinear Eigenvalue Problems with Specified Eigenvalues (2014) (3)
- Low-rank tensor approximations for solving multi-marginal optimal transport problems (2022) (3)
- MATHICSE Technical Report : On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices (2019) (2)
- A Krylov-Schur Algorithm for Matrix Products ? (2004) (2)
- Speeding up Krylov subspace methods for computing f(A)b via randomization (2022) (2)
- PDHSEQR User ' s Guide (2014) (2)
- CONTINUATION METHODS FOR RIEMANNIAN OPTIMIZATION WITH AN APPLICATION TO LOW-RANK MATRIX COMPLETION (2021) (2)
- On the residual inverse iteration for nonlinear eigenvalue problems admitting a Rayleigh functional (2014) (2)
- MATHICSE Technical Report : Tensor train approximation of moment equations for the log-normal Darcy problem (2014) (2)
- Compress‐and‐restart block Krylov subspace methods for Sylvester matrix equations (2020) (2)
- Quasi-Optimal Sampling to Learn Basis Updates for Online Adaptive Model Reduction with Adaptive Empirical Interpolation (2020) (2)
- Projection methods for large T-Sylvester equations (2014) (2)
- Low-rank tensor completion by Riemannian optimization (2013) (2)
- Streaming Tensor Train Approximation (2022) (2)
- PDHGEQZ user guide (2015) (2)
- Improved parallel-in-time integration via low-rank updates and interpolation (2022) (2)
- Numerische Mathematik Continuation of eigenvalues and invariant pairs for parameterized nonlinear eigenvalue problems (2011) (1)
- Ecole Polytechnique Fédérale de Lausanne Numerical Algorithm and High-Performance Computing (ANCHP) Master semester project supervised by (2013) (1)
- Perturbation, Computation and Refinement of Invariant Subspaces for Matrix Polynomials (2009) (1)
- Hierarchical adaptive low‐rank format with applications to discretized partial differential equations (2022) (1)
- Semi-automatic Generation of Web-Based Computing Environments for Software Libraries (2002) (1)
- Approximation in the extended functional tensor train format (2022) (1)
- Iterative refinement of Schur decompositions (2022) (1)
- Quantitative Evaluation of Systems (2014) (1)
- A Low-Rank Reduced Basis Method for Parameter-Dependent Lyapunov Equations (2013) (1)
- Hierarchical adaptive low-rank format with applications to discretized PDEs (2021) (1)
- Randomized low-rank approximation of monotone matrix functions (2022) (1)
- Sparsity-seeking fusion of digital elevation models (2011) (1)
- Low rank differential equations for Hamiltonian matrix nearness problems (2014) (1)
- CLUSTER 2020 Committees : Organizing Committees (2020) (0)
- MATHICSE Technical Report : Low-rank updates and a divideand- conquer method for linear matrix equations (2017) (0)
- On the Curvature of Pattern Transformation Manifolds: Numerical Estimation and Applications (2010) (0)
- Hermite interpolation with retractions on manifolds (2022) (0)
- On the approximation of vector-valued functions by samples (2023) (0)
- Preface to the 15th ILAS Conference Proceedings Cancun, Mexico 2008 (2010) (0)
- An indefinite variant of LOBPCG for definite matrix pencils (2013) (0)
- A PARALLEL QZ ALGORITHM FOR DISTRIBUTED MEMORY (2014) (0)
- Recursive blocked algorithms for linear systems with Kronecker product structure (2019) (0)
- Randomized Joint Diagonalization of Symmetric Matrices (2022) (0)
- Chebyshev interpolation for nonlinear eigenvalue problems (2012) (0)
- Randomized low-rank approximation of parameter-dependent matrices (2023) (0)
- Pdhgeqz User Guide Pdhgeqz User Guide (2016) (0)
- CIMEEMS Summer School in applied mathematics Exploiting Hidden Structure in Matrix Computations. Algorithms and Applications (2015) (0)
- MATHICSE Technical Report : Fast QR decomposition of HODLR matrices (2018) (0)
- Multilevel tensor approximation of PDEs with random data (2017) (0)
- Improved ParaDiag via low-rank updates and interpolation (2022) (0)
- On Randomized Trace Estimates for Indefinite Matrices with an Application to Determinants (2021) (0)
- Eigenvalue Optimization for Solving the MAX-CUT Problem (2012) (0)
- A mixed precision LOBPCG algorithm (2023) (0)
- Recent Advances in Dense Linear Algebra: Minisymposium Abstract (2006) (0)
- N A ] 6 F eb 2 01 9 On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices (2019) (0)
- Low rank approximations of infinite-dimensional Lyapunov equations and applications (2014) (0)
- MATHICSE Technical Report : Accelerated filtering on graphs using Lanczos method (2015) (0)
- A block algorithm for computing antitriangular factorizations of symmetric matrices (2015) (0)
- Globally optimal volume registration using DC programming (2009) (0)
- Preface of the guest‐editor (2013) (0)
- Low-rank updates and divide-and-conquer methods for quadratic matrix equations (2019) (0)
- SLICOT Working Note 2009-1 The SLICOT Toolboxes a Survey (2009) (0)
- Randomized sketching of nonlinear eigenvalue problems (2022) (0)
- 7th Workshop on Matrix Equations and Tensor Techniques (2018) (0)
- Informations { Advanced Numerical Analysis (2006) (0)
- MATHICSE Technical Report : Low-rank updates and divide-andconquer methods for quadratic matrix equations (2019) (0)
- Linear dimension reduction for evolutionary data (2011) (0)
- A COUNTEREXAMPLE FOR CHARACTERIZING AN INVARIANT SUBSPACE OF A MATRIX (2009) (0)
- School of Basic Sciences - Section of Mathematics (2013) (0)
- A Flexible Power Method for Solving Infinite Dimensional Tensor Eigenvalue Problems (2021) (0)
- MATHICSE Technical Report : Low-rank tensor approximation for high-order correlation functions of Gaussian random fields (2014) (0)
- Numerical Mathematics and Control (2020) (0)
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