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A bivariate extension of the Crouzeix–Palencia result with an application to Fréchet derivatives of matrix functions
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2025
|
Michel Crouzeix
Daniel Kreßner
|
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PDF
Chat
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A preconditioned inverse iteration with an improved convergence
guarantee
|
2024
|
Foivos Alimisis
Daniel Kreßner
Nian Shao
Bart Vandereycken
|
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+
PDF
Chat
|
Adaptive randomized pivoting for column subset selection, DEIM, and
low-rank approximation
|
2024
|
Alice Cortinovis
Daniel Kreßner
|
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+
PDF
Chat
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Computing Functions of Symmetric Hierarchically Semiseparable Matrices
|
2024
|
Angelo A. Casulli
Daniel Kreßner
Leonardo Robol
|
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PDF
Chat
|
Hermite interpolation with retractions on manifolds
|
2024
|
Axel Séguin
Daniel Kreßner
|
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+
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Randomized methods for computing joint eigenvalues, with applications to multiparameter eigenvalue problems and root finding
|
2024
|
Haoze He
Daniel Kreßner
Bor Plestenjak
|
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+
PDF
Chat
|
Randomized low-rank Runge-Kutta methods
|
2024
|
Hei Yin Lam
Gianluca Ceruti
Daniel Kreßner
|
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+
PDF
Chat
|
Randomized methods for computing joint eigenvalues, with applications to
multiparameter eigenvalue problems and root finding
|
2024
|
Haoze He
Daniel Kreßner
Bor Plestenjak
|
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+
PDF
Chat
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Preconditioned Low-Rank Riemannian Optimization for Symmetric Positive
Definite Linear Matrix Equations
|
2024
|
Ivan Bioli
Daniel Kreßner
Leonardo Robol
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On the approximation of vector-valued functions by volume sampling
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2024
|
Daniel Kreßner
Tingting Ni
André Uschmajew
|
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PDF
Chat
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Solving a class of infinite‐dimensional tensor eigenvalue problems by translational invariant tensor ring approximations
|
2024
|
Roel Van Beeumen
Lana Periša
Daniel Kreßner
Chao Yang
|
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+
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Randomized low‐rank approximation of parameter‐dependent matrices
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2024
|
Daniel Kreßner
Hei Yin Lam
|
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+
PDF
Chat
|
A randomized small-block Lanczos method for large-scale null space
computations
|
2024
|
Daniel Kreßner
Nian Shao
|
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+
PDF
Chat
|
From low-rank retractions to dynamical low-rank approximation and back
|
2024
|
Axel Séguin
Gianluca Ceruti
Daniel Kreßner
|
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+
PDF
Chat
|
Approximation in the extended functional tensor train format
|
2024
|
Christoph Strössner
Bonan Sun
Daniel Kreßner
|
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+
PDF
Chat
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A simple, randomized algorithm for diagonalizing normal matrices
|
2024
|
Haoze He
Daniel Kreßner
|
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+
PDF
Chat
|
Subspace embedding with random Khatri-Rao products and its application
to eigensolvers
|
2024
|
Zvonimir Bujanović
Luka Grubišić
Daniel Kreßner
Hei Yin Lam
|
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+
PDF
Chat
|
Low-rank Tree Tensor Network Operators for Long-Range Pairwise
Interactions
|
2024
|
Gianluca Ceruti
Daniel Kreßner
Dominik Sulz
|
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+
PDF
Chat
|
Randomized Nystr\"om approximation of non-negative self-adjoint
operators
|
2024
|
David Persson
Nicolas Boullé
Daniel Kreßner
|
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+
PDF
Chat
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Computing Functions of Symmetric Hierarchically Semiseparable Matrices
|
2024
|
Angelo A. Casulli
Daniel Kreßner
Leonardo Robol
|
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+
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Randomized Joint Diagonalization of Symmetric Matrices
|
2024
|
Haoze He
Daniel Kreßner
|
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+
PDF
Chat
|
A randomized algorithm for simultaneously diagonalizing symmetric
matrices by congruence
|
2024
|
Haoze He
Daniel Kreßner
|
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+
PDF
Chat
|
Streaming Tensor Train Approximation
|
2023
|
Daniel Kreßner
Bart Vandereycken
Rik Voorhaar
|
|
+
PDF
Chat
|
Randomized Low-Rank Approximation of Monotone Matrix Functions
|
2023
|
David Persson
Daniel Kreßner
|
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+
PDF
Chat
|
A mixed precision LOBPCG algorithm
|
2023
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Daniel Kreßner
Yuxin Ma
Meiyue Shao
|
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+
PDF
Chat
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A mixed precision LOBPCG algorithm
|
2023
|
Daniel Kreßner
Yuxin Ma
Meiyue Shao
|
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+
PDF
Chat
|
Singular quadratic eigenvalue problems: linearization and weak condition numbers
|
2023
|
Daniel Kreßner
Ivana Šain Glibić
|
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PDF
Chat
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Low-Rank Tensor Approximations for Solving Multimarginal Optimal Transport Problems
|
2023
|
Christoph Strössner
Daniel Kreßner
|
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+
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A mixed precision LOBPCG algorithm
|
2023
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Daniel Kreßner
Yuxin Ma
Meiyue Shao
|
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+
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Randomized low-rank approximation of parameter-dependent matrices
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2023
|
Daniel Kreßner
Hei Yin Lam
|
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+
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On the approximation of vector-valued functions by samples
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2023
|
Daniel Kreßner
Tingting Ni
André Uschmajew
|
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+
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Analysis of eigenvalue condition numbers for a class of randomized numerical methods for singular matrix pencils
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2023
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Daniel Kreßner
Bor Plestenjak
|
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+
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Subspace Acceleration for a Sequence of Linear Systems and Application to Plasma Simulation
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2023
|
Margherita Guido
Daniel Kreßner
Paolo Emilio Ricci
|
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+
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From low-rank retractions to dynamical low-rank approximation and back
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2023
|
Axel Séguin
Gianluca Ceruti
Daniel Kreßner
|
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+
PDF
Chat
|
Improved Variants of the Hutch++ Algorithm for Trace Estimation
|
2022
|
David Persson
Alice Cortinovis
Daniel Kreßner
|
|
+
PDF
Chat
|
Fast global spectral methods for three-dimensional partial differential equations
|
2022
|
Christoph Strössner
Daniel Kreßner
|
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+
PDF
Chat
|
Iterative refinement of Schur decompositions
|
2022
|
Zvonimir Bujanović
Daniel Kreßner
Christian Schröder
|
|
+
PDF
Chat
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Hierarchical adaptive low‐rank format with applications to discretized partial differential equations
|
2022
|
Stefano Massei
Leonardo Robol
Daniel Kreßner
|
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+
PDF
Chat
|
Continuation Methods for Riemannian Optimization
|
2022
|
Axel Séguin
Daniel Kreßner
|
|
+
PDF
Chat
|
Divide-and-Conquer Methods for Functions of Matrices with Banded or Hierarchical Low-Rank Structure
|
2022
|
Alice Cortinovis
Daniel Kreßner
Stefano Massei
|
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Singular quadratic eigenvalue problems: Linearization and weak condition numbers
|
2022
|
Daniel Kreßner
Ivana Šain Glibić
|
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+
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Improved ParaDiag via low-rank updates and interpolation
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2022
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Daniel Kreßner
Stefano Massei
Zhu Junli
|
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+
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Iterative Refinement of Schur decompositions
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2022
|
Zvonimir Bujanović
Daniel Kreßner
Christian Schröder
|
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+
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Low-rank tensor approximations for solving multi-marginal optimal transport problems
|
2022
|
Christoph Strössner
Daniel Kreßner
|
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+
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Streaming Tensor Train Approximation
|
2022
|
Daniel Kreßner
Bart Vandereycken
Rik Voorhaar
|
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+
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Randomized low-rank approximation of monotone matrix functions
|
2022
|
David Persson
Daniel Kreßner
|
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+
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Approximation in the extended functional tensor train format
|
2022
|
Christoph Strössner
Bonan Sun
Daniel Kreßner
|
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+
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Randomized sketching of nonlinear eigenvalue problems
|
2022
|
Stefan Güttel
Daniel Kreßner
Bart Vandereycken
|
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+
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Hermite interpolation with retractions on manifolds
|
2022
|
Axel Séguin
Daniel Kreßner
|
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+
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Randomized Joint Diagonalization of Symmetric Matrices
|
2022
|
Haoze He
Daniel Kreßner
|
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+
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Speeding up Krylov subspace methods for computing f(A)b via randomization
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2022
|
Alice Cortinovis
Daniel Kreßner
Yuji Nakatsukasa
|
|
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PDF
Chat
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Computing low-rank rightmost eigenpairs of a class of matrix-valued linear operators
|
2021
|
Nicola Guglielmi
Daniel Kreßner
Carmela Scalone
|
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PDF
Chat
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On Randomized Trace Estimates for Indefinite Matrices with an Application to Determinants
|
2021
|
Alice Cortinovis
Daniel Kreßner
|
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+
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Continuation methods for Riemannian Optimization with an application to low-rank matrix completion
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2021
|
Axel Séguin
Daniel Kreßner
|
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+
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Hierarchical adaptive low-rank format with applications to discretized PDEs.
|
2021
|
Stefano Massei
Leonardo Robol
Daniel Kreßner
|
|
+
PDF
Chat
|
A fast spectral divide‐and‐conquer method for banded matrices
|
2021
|
Ana Šušnjara
Daniel Kreßner
|
|
+
PDF
Chat
|
A Flexible Power Method for Solving Infinite Dimensional Tensor Eigenvalue Problems
|
2021
|
Roel Van Beeumen
Lana Periša
Daniel Kreßner
Chao Yang
|
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+
PDF
Chat
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Preface
|
2021
|
Froilán M. Dopico
Daniel Kreßner
Nicola Mastronardi
Volker Mehrmann
Raf Vandebril
|
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PDF
Chat
|
Norm and Trace Estimation with Random Rank-one Vectors
|
2021
|
Zvonimir Bujanović
Daniel Kreßner
|
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+
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Low-Rank Updates of Matrix Functions II: Rational Krylov Methods
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2021
|
Bernhard Beckermann
Alice Cortinovis
Daniel Kreßner
Marcel Schweitzer
|
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PDF
Chat
|
Functional Tucker Approximation Using Chebyshev Interpolation
|
2021
|
Sergey Dolgov
Daniel Kreßner
Christoph Strössner
|
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+
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Improved variants of the Hutch++ algorithm for trace estimation
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2021
|
David Persson
Alice Cortinovis
Daniel Kreßner
|
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+
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Divide and conquer methods for functions of matrices with banded or hierarchical low-rank structure
|
2021
|
Alice Cortinovis
Daniel Kreßner
Stefano Massei
|
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+
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Continuation methods for Riemannian Optimization
|
2021
|
Axel Séguin
Daniel Kreßner
|
|
+
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Hierarchical adaptive low-rank format with applications to discretized PDEs
|
2021
|
Stefano Massei
Leonardo Robol
Daniel Kreßner
|
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+
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Solving a Class of Infinite-Dimensional Tensor Eigenvalue Problems by Translational Invariant Tensor Ring Approximations
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2021
|
Roel Van Beeumen
Lana Periša
Daniel Kreßner
Chao Yang
|
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+
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Compress‐and‐restart block Krylov subspace methods for Sylvester matrix equations
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2020
|
Daniel Kreßner
Kathryn Lund
Stefano Massei
Davide Palitta
|
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+
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Limited‐memory polynomial methods for large‐scale matrix functions
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2020
|
Stefan Güttel
Daniel Kreßner
Kathryn Lund
|
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+
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Limited-memory polynomial methods for large-scale matrix functions
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2020
|
Stefan Güttel
Daniel Kreßner
Kathryn Lund
|
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+
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Low-rank updates of matrix functions II: Rational Krylov methods.
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2020
|
Bernhard Beckermann
Alice Cortinovis
Daniel Kreßner
Marcel Schweitzer
|
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+
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Functional Tucker approximation using Chebyshev interpolation
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2020
|
Sergey Dolgov
Daniel Kreßner
Christoph Strössner
|
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+
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On randomized trace estimates for indefinite matrices with an application to determinants.
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2020
|
Alice Cortinovis
Daniel Kreßner
|
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+
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Norm and trace estimation with random rank-one vectors
|
2020
|
Zvonimir Bujanović
Daniel Kreßner
|
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+
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On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices
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2020
|
Alice Cortinovis
Daniel Kreßner
Stefano Massei
|
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+
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Compress-and-restart block Krylov subspace methods for Sylvester matrix equations
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2020
|
Daniel Kreßner
Kathryn Lund
Stefano Massei
Davide Palitta
|
|
+
PDF
Chat
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hm-toolbox: MATLAB Software for HODLR and HSS Matrices
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2020
|
Stefano Massei
Leonardo Robol
Daniel Kreßner
|
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+
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A bivariate extension of the Crouzeix-Palencia result with an application to Fréchet derivatives of matrix functions
|
2020
|
Michel Crouzeix
Daniel Kreßner
|
|
+
PDF
Chat
|
Low-Rank Tensor Approximation for Chebyshev Interpolation in Parametric Option Pricing
|
2020
|
Kathrin Glau
Daniel Kreßner
Francesco Statti
|
|
+
PDF
Chat
|
Low-Rank Approximation in the Frobenius Norm by Column and Row Subset Selection
|
2020
|
Alice Cortinovis
Daniel Kreßner
|
|
+
PDF
Chat
|
Certified and fast computations with shallow covariance kernels
|
2020
|
Daniel Kreßner
Jonas Latz
Stefano Massei
Elisabeth Ullmann
|
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+
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Low-rank updates of matrix functions II: Rational Krylov methods
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2020
|
Bernhard Beckermann
Alice Cortinovis
Daniel Kreßner
Marcel Schweitzer
|
|
+
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On randomized trace estimates for indefinite matrices with an application to determinants
|
2020
|
Alice Cortinovis
Daniel Kreßner
|
|
+
|
Norm and trace estimation with random rank-one vectors
|
2020
|
Zvonimir Bujanović
Daniel Kreßner
|
|
+
|
Compress-and-restart block Krylov subspace methods for Sylvester matrix equations
|
2020
|
Daniel Kreßner
Kathryn Lund
Stefano Massei
Davide Palitta
|
|
+
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Limited-memory polynomial methods for large-scale matrix functions
|
2020
|
Stefan Güttel
Daniel Kreßner
Kathryn Lund
|
|
+
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\lowercase{hm-toolbox}: Matlab software for HODLR and HSS matrices
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2019
|
Stefano Massei
Leonardo Robol
Daniel Kreßner
|
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+
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hm-toolbox: Matlab software for HODLR and HSS matrices
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2019
|
Stefano Massei
Leonardo Robol
Daniel Kreßner
|
|
+
PDF
Chat
|
Recursive blocked algorithms for linear systems with Kronecker product structure
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2019
|
Minhong Chen
Daniel Kreßner
|
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+
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MATHICSE Technical Report : Low-rank approximation in the Frobenius norm by column and row subset selection
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2019
|
Alice Cortinovis
Daniel Kreßner
MATHICSE-Group
|
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+
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Low-rank approximation in the Frobenius norm by column and row subset selection
|
2019
|
Alice Cortinovis
Daniel Kreßner
|
|
+
PDF
Chat
|
Low-rank updates and divide-and-conquer methods for quadratic matrix equations
|
2019
|
Daniel Kreßner
Patrick Kürschner
Stefano Massei
|
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+
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Low-rank updates and divide-and-conquer methods for quadratic matrix equations
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2019
|
Daniel Kreßner
Patrick Kürschner
Stefano Massei
|
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+
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Low-rank tensor approximation for Chebyshev interpolation in parametric option pricing
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2019
|
Kathrin Glau
Daniel Kreßner
Francesco Statti
|
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+
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On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices
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2019
|
Alice Cortinovis
Daniel Kreßner
Stefano Massei
|
|
+
PDF
Chat
|
A Krylov Subspace Method for the Approximation of Bivariate Matrix Functions
|
2019
|
Daniel Kreßner
|
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+
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Recursive blocked algorithms for linear systems with Kronecker product structure
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2019
|
Minhong Chen
Daniel Kreßner
|
|
+
PDF
Chat
|
Low-Rank Updates and a Divide-And-Conquer Method for Linear Matrix Equations
|
2019
|
Daniel Kreßner
Stefano Massei
Leonardo Robol
|
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+
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Low-rank updates and divide-and-conquer methods for quadratic matrix equations
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2019
|
Daniel Kreßner
Patrick Kürschner
Stefano Massei
|
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+
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hm-toolbox: Matlab software for HODLR and HSS matrices
|
2019
|
Stefano Massei
Leonardo Robol
Daniel Kreßner
|
|
+
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Low-rank approximation in the Frobenius norm by column and row subset selection
|
2019
|
Alice Cortinovis
Daniel Kreßner
|
|
+
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Low-rank tensor approximation for Chebyshev interpolation in parametric option pricing
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2019
|
Kathrin Glau
Daniel Kreßner
Francesco Statti
|
|
+
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On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices
|
2019
|
Alice Cortinovis
Daniel Kreßner
Stefano Massei
|
|
+
PDF
Chat
|
7th Workshop on Matrix Equations and Tensor Techniques
|
2018
|
Peter Benner
Heike Faßbender
Lars Grasedyck
Daniel Kreßner
Beatrice Meini
Valeria Simoncini
|
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PDF
Chat
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Distributed Signal Processing via Chebyshev Polynomial Approximation
|
2018
|
David I Shuman
Pierre Vandergheynst
Daniel Kreßner
Pascal Frossard
|
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+
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A fast spectral divide-and-conquer method for banded matrices
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2018
|
Ana Šušnjara
Daniel Kreßner
|
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+
PDF
Chat
|
A fast spectral divide-and-conquer method for banded matrices
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2018
|
Ana Šušnjara
Daniel Kreßner
|
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+
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Subspace Acceleration for the Crawford Number and Related Eigenvalue Optimization Problems
|
2018
|
Daniel Kreßner
Ding Lu
Bart Vandereycken
|
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+
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Low-Rank Updates of Matrix Functions
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2018
|
Bernhard Beckermann
Daniel Kreßner
Marcel Schweitzer
|
|
+
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Fast QR decomposition of HODLR matrices
|
2018
|
Daniel Kreßner
Ana Šušnjara
|
|
+
PDF
Chat
|
Fast Computation of the Matrix Exponential for a Toeplitz Matrix
|
2018
|
Daniel Kreßner
Robert Luce
|
|
+
PDF
Chat
|
Multigrid methods combined with low-rank approximation for tensor-structured Markov chains
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2018
|
Matthias Bolten
Karsten Kahl
Daniel Kreßner
Francisco Macedo
Sonja Sokolović
|
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+
PDF
Chat
|
A Householder-Based Algorithm for Hessenberg-Triangular Reduction
|
2018
|
Zvonimir Bujanović
Lars Karlsson
Daniel Kreßner
|
|
+
PDF
Chat
|
Incremental computation of block triangular matrix exponentials with application to option pricing
|
2018
|
Daniel Kreßner
Robert Luce
Francesco Statti
|
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+
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A fast spectral divide-and-conquer method for banded matrices
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2018
|
Ana Šušnjara
Daniel Kreßner
|
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+
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A Krylov subspace method for the approximation of bivariate matrix functions
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2018
|
Daniel Kreßner
|
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+
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Low-rank updates and a divide-and-conquer method for linear matrix equations
|
2017
|
Daniel Kreßner
Stefano Massei
Leonardo Robol
|
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+
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A Householder-based algorithm for Hessenberg-triangular reduction
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2017
|
Zvonimir Bujanović
Lars Karlsson
Daniel Kreßner
|
|
+
PDF
Chat
|
Learning Heat Diffusion Graphs
|
2017
|
Dorina Thanou
Xiaowen Dong
Daniel Kreßner
Pascal Frossard
|
|
+
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Low-rank updates of matrix functions
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2017
|
Bernhard Beckermann
Daniel Kreßner
Marcel Schweitzer
|
|
+
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Incremental computation of block triangular matrix exponentials with application to option pricing
|
2017
|
Daniel Kreßner
Robert Luce
Francesco Statti
|
|
+
PDF
Chat
|
Multilevel tensor approximation of PDEs with random data
|
2017
|
Jonas Ballani
Daniel Kreßner
Michael Peters
|
|
+
PDF
Chat
|
Perturbation of Higher-Order Singular Values
|
2017
|
Wolfgang Hackbusch
Daniel Kreßner
André Uschmajew
|
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+
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Recompression of Hadamard Products of Tensors in Tucker Format
|
2017
|
Daniel Kreßner
Lana Periša
|
|
+
PDF
Chat
|
A Novel Iterative Method To Approximate Structured Singular Values
|
2017
|
Nicola Guglielmi
Mutti-Ur Rehman
Daniel Kreßner
|
|
+
PDF
Chat
|
Fast Computation of Spectral Projectors of Banded Matrices
|
2017
|
Daniel Kreßner
Ana Šušnjara
|
|
+
PDF
Chat
|
Structure-Preserving Low Multilinear Rank Approximation of Antisymmetric Tensors
|
2017
|
Erna Begović Kovač
Daniel Kreßner
|
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+
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Low-rank updates of matrix functions
|
2017
|
Bernhard Beckermann
Daniel Kreßner
Marcel Schweitzer
|
|
+
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Low-rank updates and a divide-and-conquer method for linear matrix equations
|
2017
|
Daniel Kreßner
Stefano Massei
Leonardo Robol
|
|
+
|
A Householder-based algorithm for Hessenberg-triangular reduction
|
2017
|
Zvonimir Bujanović
Lars Karlsson
Daniel Kreßner
|
|
+
|
Incremental computation of block triangular matrix exponentials with application to option pricing
|
2017
|
Daniel Kreßner
Robert Luce
Francesco Statti
|
|
+
|
Learning heat diffusion graphs
|
2016
|
Dorina Thanou
Xiaowen Dong
Daniel Kreßner
Pascal Frossard
|
|
+
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Fast computation of spectral projectors of banded matrices
|
2016
|
Daniel Kreßner
Ana Šušnjara
|
|
+
|
Multilevel tensor approximation of PDEs with random data
|
2016
|
Jonas Ballani
Daniel Kreßner
Michael Peters
|
|
+
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Structure-preserving low multilinear rank approximation of antisymmetric tensors
|
2016
|
Erna Begović Kovač
Daniel Kreßner
|
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+
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Tensor train approximation of moment equations for elliptic equations with lognormal coefficient
|
2016
|
Francesca Bonizzoni
Fabio Nobile
Daniel Kreßner
|
|
+
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Multigrid methods combined with low-rank approximation for tensor structured Markov chains
|
2016
|
Matthias Bolten
Karsten Kahl
Daniel Kreßner
Francisco Macedo
Sonja Sokolović
|
|
+
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MATHICSE Technical Report : A novel iterative method to approximate structured singular values
|
2016
|
Nicola Guglielmi
Mutti-Ur Rehman
Daniel Kreßner
MATHICSE-Group
|
|
+
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A novel iterative method to approximate structured singular values
|
2016
|
Nicola Guglielmi
Mutti-Ur Rehman
Daniel Kreßner
|
|
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MATHICSE Technical Report : Multigrid methods combined with low-rank approximation for tensor structured Markov chains
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2016
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Matthias Bolten
Karsten Kahl
Daniel Kreßner
Francisco Macedo
Sonja Sokolović
MATHICSE-Group
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MATHICSE Technical Report : Structure-preserving low multilinear rank approximation of antisymmetric tensors
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2016
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Erna Begović Kovač
Daniel Kreßner
MATHICSE-Group
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On low-rank approximability of solutions to high-dimensional operator equations and eigenvalue problems
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2016
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Daniel Kreßner
André Uschmajew
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Preconditioned Low-rank Riemannian Optimization for Linear Systems with Tensor Product Structure
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2016
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Daniel Kreßner
Michael Steinlechner
Bart Vandereycken
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Reduced Basis Methods: From Low-Rank Matrices to Low-Rank Tensors
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2016
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Jonas Ballani
Daniel Kreßner
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MATHICSE Technical Report : Multilevel tensor approximation of PDEs with random data
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2016
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Jonas Ballani
Daniel Kreßner
Michael Peters
MATHICSE-Group
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Fast computation of spectral projectors of banded matrices
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2016
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Daniel Kreßner
Ana Šušnjara
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A novel iterative method to approximate structured singular values
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2016
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Nicola Guglielmi
Mutti-Ur Rehman
Daniel Kreßner
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Learning heat diffusion graphs
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2016
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Dorina Thanou
Xiaowen Dong
Daniel Kreßner
Pascal Frossard
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Multilevel tensor approximation of PDEs with random data
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2016
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Jonas Ballani
Daniel Kreßner
Michael A. Peters
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Multigrid methods combined with low-rank approximation for tensor structured Markov chains
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2016
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Matthias Bolten
Karsten Kahl
Daniel Kreßner
Francisco Macedo
Sonja Sokolović
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Subspace Acceleration for Large-Scale Parameter-Dependent Hermitian Eigenproblems
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2016
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Petar Sirković
Daniel Kreßner
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Parallel algorithms for tensor completion in the CP format
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2015
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Lars Karlsson
Daniel Kreßner
André Uschmajew
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Accelerated filtering on graphs using Lanczos method
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2015
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Ana Šušnjara
Nathanaël Perraudin
Daniel Kreßner
Pierre Vandergheynst
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Preconditioned low-rank Riemannian optimization for linear systems with tensor product structure
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2015
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Daniel Kreßner
Michael Steinlechner
Bart Vandereycken
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MATHICSE Technical Report : Preconditioned low-rank Riemannian optimization for linear systems with tensor product structure
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2015
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Daniel Kreßner
Michael Steinlechner
Bart Vandereycken
MATHICSE-Group
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Projection methods for large-scale T-Sylvester equations
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2015
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Froilán M. Dopico
Javier González
Daniel Kreßner
Valeria Simoncini
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Subspace acceleration for large-scale parameter-dependent Hermitian eigenproblems
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2015
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Petar Sirković
Daniel Kreßner
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A block algorithm for computing antitriangular factorizations of symmetric matrices
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2015
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Zvonimir Bujanović
Daniel Kreßner
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Truncated low‐rank methods for solving general linear matrix equations
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2015
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Daniel Kreßner
Petar Sirković
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Numerical Algebra, Matrix Theory, Differential-Algebraic Equations and Control Theory
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2015
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Peter Benner
Matthias Bollhöfer
Daniel Kreßner
Christian Mehl
Tatjana Stykel
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Numerical algebra, matrix theory, differential-algebraic equations and control theory : Festschrift in honor of Volker Mehrmann
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2015
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Peter Benner
Matthias Bollhöfer
Daniel Kreßner
Christian Mehl
Tatjana Stykel
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Accelerated filtering on graphs using Lanczos method
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2015
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Ana Šušnjara
Nathanaël Perraudin
Daniel Kreßner
Pierre Vandergheynst
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PDHGEQZ user guide
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2015
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Björn Adlerborn
Bo Kågström
Daniel Kreßner
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Subspace acceleration for large-scale parameter-dependent Hermitian eigenproblems
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2015
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Petar Sirković
Daniel Kreßner
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Preconditioned low-rank Riemannian optimization for linear systems with tensor product structure
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2015
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Daniel Kreßner
Michael Steinlechner
Bart Vandereycken
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Low-Rank Tensor Approximation for High-Order Correlation Functions of Gaussian Random Fields
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2015
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Daniel Kreßner
Rajesh Kumar
Fabio Nobile
Christine Tobler
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Numerical mathematics and advanced applications ENUMATH 2013 : proceedings of ENUMATH 2013, the 10th European conference on numerical mathematics and advanced applications, Lausanne, August 2013
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2015
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Assyr Abdulle
Simone Deparis
Daniel Kreßner
Fabio Nobile
Marco Picasso
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Distance Problems for Linear Dynamical Systems
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2015
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Daniel Kreßner
Matthias Voigt
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On the eigenvalue decay of solutions to operator Lyapunov equations
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2014
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Luka Grubišić
Daniel Kreßner
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MATHICSE Technical Report : Tensor train approximation of moment equations for the log-normal Darcy problem
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2014
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Francesca Bonizzoni
Fabio Nobile
Daniel Kreßner
MATHICSE-Group
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On low-rank approximability of solutions to high-dimensional operator equations and eigenvalue problems
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2014
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Daniel Kreßner
André Uschmajew
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Algorithm 941
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2014
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Daniel Kreßner
Christine Tobler
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Low-Rank Tensor Methods with Subspace Correction for Symmetric Eigenvalue Problems
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2014
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Daniel Kreßner
Michael Steinlechner
André Uschmajew
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Computing Extremal Points of Symplectic Pseudospectra and Solving Symplectic Matrix Nearness Problems
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2014
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Nicola Guglielmi
Daniel Kreßner
Christian Lubich
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Subspace Methods for Computing the Pseudospectral Abscissa and the Stability Radius
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2014
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Daniel Kreßner
Bart Vandereycken
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On a Perturbation Bound for Invariant Subspaces of Matrices
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2014
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Michael Karow
Daniel Kreßner
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Bivariate matrix functions
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2014
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Daniel Kreßner
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A Parallel QZ Algorithm for Distributed Memory HPC Systems
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2014
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Björn Adlerborn
Bo Kågström
Daniel Kreßner
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PDF
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Nonlinear Eigenvalue Problems with Specified Eigenvalues
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2014
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Michael Karow
Daniel Kreßner
Emre Mengi
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Low-Rank Tensor Methods for Communicating Markov Processes
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2014
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Daniel Kreßner
Francisco Macedo
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On low-rank approximability of solutions to high-dimensional operator equations and eigenvalue problems
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2014
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Daniel Kreßner
André Uschmajew
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A preconditioned low-rank CG method for parameter-dependent Lyapunov matrix equations
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2013
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Daniel Kreßner
Martin Plešinger
Christine Tobler
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PDF
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Memory-efficient Arnoldi algorithms for linearizations of matrix polynomials in Chebyshev basis
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2013
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Daniel Kreßner
José E. Román
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Low-rank tensor completion by Riemannian optimization
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2013
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Daniel Kreßner
Michael Steinlechner
Bart Vandereycken
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An indefinite variant of LOBPCG for definite matrix pencils
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2013
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Daniel Kreßner
Marija Miloloža Pandur
Meiyue Shao
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A literature survey of low‐rank tensor approximation techniques
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2013
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Lars Grasedyck
Daniel Kreßner
Christine Tobler
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PDF
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Generalized eigenvalue problems with specified eigenvalues
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2013
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Daniel Kreßner
Emre Mengi
I. Naki
Ninoslav Truhar
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A literature survey of low-rank tensor approximation techniques
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2013
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Lars Grasedyck
Daniel Kreßner
Christine Tobler
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PDF
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Structured canonical forms for products of (skew-) symmetric matrices and the matrix equation XAX=B
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2013
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Daniel Kreßner
Xin Liu
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PDF
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An Error Analysis of Galerkin Projection Methods for Linear Systems with Tensor Product Structure
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2013
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Bernhard Beckermann
Daniel Kreßner
Christine Tobler
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Ecole Polytechnique Fédérale de Lausanne Numerical Algorithm and High-Performance Computing (ANCHP) Master semester project supervised by
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2013
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Daniel Kreßner
Michael Steinlechner
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School of Basic Sciences - Section of Mathematics
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2013
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Daniel Kreßner
Michael Steinlechner
Bart Vandereycken
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A literature survey of low-rank tensor approximation techniques
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2013
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Lars Grasedyck
Daniel Kreßner
Christine Tobler
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PDF
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New SLICOT routines based on structured eigensolvers
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2012
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Vasile Sima
Peter Benner
Daniel Kreßner
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PDF
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Chebyshev interpolation for nonlinear eigenvalue problems
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2012
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Cedric Effenberger
Daniel Kreßner
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PDF
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Accelerating Model Reduction of Large Linear Systems with Graphics Processors
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2012
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Peter Benner
Pablo Ezzatti
Daniel Kreßner
Enrique S. Quintana–Ort́ı
Alfredo Remón
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Eigenvalue Optimization for Solving the MAX-CUT Problem
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2012
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Daniel Kreßner
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htucker - A Matlab toolbox for tensors in hierarchical Tucker format
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2012
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Daniel Kreßner
Christine Tobler
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A preconditioned low-rank CG method for parameter-dependent
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2012
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Daniel Kreßner
Martin Plešinger
Christine Tobler
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Distributed Signal Processing via Chebyshev Polynomial Approximation
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2011
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David I Shuman
Pierre Vandergheynst
Daniel Kreßner
Pascal Frossard
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PDF
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Low-Rank Tensor Krylov Subspace Methods for Parametrized Linear Systems
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2011
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Daniel Kreßner
Christine Tobler
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PDF
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Continuation of eigenvalues and invariant pairs for parameterized nonlinear eigenvalue problems
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2011
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Wolf‐Jürgen Beyn
Cedric Effenberger
Daniel Kreßner
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Structured eigenvalue condition numbers and linearizations for matrix polynomials
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2011
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Bibhas Adhikari
Rafikul Alam
Daniel Kreßner
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Preconditioned Low-Rank Methods for High-Dimensional Elliptic PDE Eigenvalue Problems
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2011
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Daniel Kreßner
Christine Tobler
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PDF
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Computing codimensions and generic canonical forms for generalized matrix products
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2011
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Bo Kågström
Lars Karlsson
Daniel Kreßner
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Distributed Signal Processing via Chebyshev Polynomial Approximation
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2011
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David I Shuman
Pierre Vandergheynst
Daniel Kreßner
Pascal Frossard
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On the curvature of pattern transformation manifolds: Numerical estimation and applications
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2010
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Effrosyni Kokiopoulou
Daniel Kreßner
Pascal Frossard
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Generalized Eigenvalue Problems with Specified Eigenvalues
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2010
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Daniel Kreßner
Emre Mengi
Ivica Nakić
Ninoslav Truhar
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Perturbation, extraction and refinement of invariant pairs for matrix polynomials
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2010
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Timo Betcke
Daniel Kreßner
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PDF
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On the computation of structured singular values and pseudospectra
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2010
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Michael Karow
Effrosyni Kokiopoulou
Daniel Kreßner
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PDF
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Krylov Subspace Methods for Linear Systems with Tensor Product Structure
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2010
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Daniel Kreßner
Christine Tobler
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Generalized Eigenvalue Problems with Specified Eigenvalues
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2010
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Daniel Kreßner
Emre Mengi
Ivica Nakić
Ninoslav Truhar
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PDF
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A block Newton method for nonlinear eigenvalue problems
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2009
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Daniel Kreßner
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Perturbation, Computation and Refinement of Invariant Subspaces for Matrix Polynomials
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2009
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Timo Betcke
Daniel Kreßner
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PDF
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Structured Hölder Condition Numbers for Multiple Eigenvalues
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2009
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Daniel Kreßner
María J. Peláez
Julio Moro
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A COUNTEREXAMPLE FOR CHARACTERIZING AN INVARIANT SUBSPACE OF A MATRIX
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2009
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H. Schwetlick
Kathrin Schreiber
Daniel Kreßner
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On the structured distance to uncontrollability
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2008
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Michael Karow
Daniel Kreßner
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PDF
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Implicit QR algorithms for palindromic and even eigenvalue problems
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2008
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Daniel Kreßner
Christian Schröder
David S. Watkins
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The Effect of Aggressive Early Deflation on the Convergence of the QR Algorithm
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2008
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Daniel Kreßner
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Parallel Variants of the Multishift QZ Algorithm with Advanced Deflation Techniques
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2007
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Björn Adlerborn
Bo Kågström
Daniel Kreßner
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Computing periodic deflating subspaces associated with a specified set of eigenvalues
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2007
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Robert Granat
Bo Kågström
Daniel Kreßner
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Recent Advances in Dense Linear Algebra: Minisymposium Abstract
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2007
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Daniel Kreßner
Julien Langou
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MATLAB TOOLS FOR SOLVING PERIODIC EIGENVALUE PROBLEMS
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2007
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Robert Granat
Bo Kågström
Daniel Kreßner
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PDF
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New Hamiltonian Eigensolvers with Applications in Control
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2006
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Peter Benner
Daniel Kreßner
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PDF
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Structured Eigenvalue Problems
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2006
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Heike Faßbender
Daniel Kreßner
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PDF
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Reordering the eigenvalues of a periodic matrix pair with applications in control
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2006
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Robert Granat
Bo Kågström
Daniel Kreßner
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PDF
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Finding the distance to instability of a large sparse matrix
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2006
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Daniel Kreßner
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PDF
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Finding the Distance to Instability of a Large Sparse Matrix
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2006
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Daniel Kreßner
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PDF
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Reordering the Eigenvalues of a Periodic Matrix Pair with Applications in Control
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2006
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Robert Granat
Bo Kågström
Daniel Kreßner
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PDF
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Algorithm 854
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2006
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Peter Benner
Daniel Kreßner
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PDF
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A periodic Krylov-Schur algorithm for large matrix products
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2006
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Daniel Kreßner
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PDF
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Structured Condition Numbers for Invariant Subspaces
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2006
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Ralph Byers
Daniel Kreßner
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PDF
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Structured Eigenvalue Condition Numbers
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2006
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Michael Karow
Daniel Kreßner
Françoise Tisseur
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Structure-preserving eigenvalue solvers for robust stability and controllability estimates
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2006
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Daniel Kreßner
Emre Mengi
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Time-lag Derivative Convergence for Fixed Point Iterations
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2005
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Andreas Griewank
Daniel Kreßner
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Skew-Hamiltonian and Hamiltonian Eigenvalue Problems: Theory, Algorithms and Applications
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2005
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Peter Benner
Daniel Kreßner
Volker Mehrmann
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Fortran 77 Subroutines for Computing the Eigenvalues of Hamiltonian Matrices II
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2005
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Peter Benner
Daniel Kreßner
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Perturbation Bounds for Isotropic Invariant Subspaces of Skew-Hamiltonian Matrices
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2005
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Daniel Kreßner
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Numerical Methods for General and Structured Eigenvalue Problems
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2005
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Daniel Kreßner
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Balancing sparse Hamiltonian eigenproblems
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2004
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Peter Benner
Daniel Kreßner
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Numerical Methods and Software for General and Structured Eigenvalue Problems
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2004
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Daniel Kreßner
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On the Condition of a Complex Eigenvalue under Real Perturbations
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2004
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Ralph Byers
Daniel Kreßner
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Block Algorithms for Orthogonal Symplectic Factorizations
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2003
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Daniel Kreßner
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Structure preservation: a challenge in computational control
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2003
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Peter Benner
Daniel Kreßner
Volker Mehrmann
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Large periodic Lyapunov equations: Algorithms and applications
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2003
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Daniel Kreßner
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