Daniel Kressner

183 papers A* 1C 2Misc 1Journal 162Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A novel Krylov subspace method for approximating Fréchet derivatives of large-scale matrix functions. CoRR Daniel Kressner, Peter Oehme
2026	J	`jnl`	A preconditioned inverse iteration with an improved convergence guarantee. Numerische Mathematik Foivos Alimisis, Daniel Kressner, Nian Shao, Bart Vandereycken
2026	J	`jnl`	Accelerated solvers for neutral particle dynamics in plasma simulation. J. Comput. Phys. Margherita Guido, Daniel Kressner, Davide Mancini, Paolo Ricci
2026	J	`jnl`	Adaptive Randomized Pivoting for Column Subset Selection, DEIM, and Low-Rank Approximation. SIAM J. Matrix Anal. Appl. Alice Cortinovis, Daniel Kressner
2026	J	`jnl`	Lanczos with compression for symmetric eigenvalue problems. CoRR Angelo A. Casulli, Daniel Kressner, Nian Shao
2026	J	`jnl`	Linear Systems and Eigenvalue Problems: Open Questions from a Simons Workshop. CoRR Noah Amsel, Yves Baumann, Paul Beckman, Peter Bürgisser, Chris Camaño, Tyler Chen, Edmond Chow, Anil Damle, Michal Derezinski, Mark Embree, Ethan N. Epperly, Robert D. Falgout, Mark Fornace, Anne Greenbaum, Chen Greif, Diana Halikias, Zhen Huang, Elias Jarlebring, Yiannis Koutis, Daniel Kressner, Rasmus Kyng, Jörg Liesen, Jackie Lok, Raphael A. Meyer, Yuji Nakatsukasa, Kate Pearce, Richard Peng, David Persson, Elizaveta Rebrova, Ryan Schneider, Rikhav Shah, Edgar Solomonik, Nikhil Srivastava, Alex Townsend, Robert J. Webber, Jess Williams
2026	J	`jnl`	Restoring similarity in randomized Krylov methods with applications to eigenvalue problems and matrix functions. CoRR Laura Grigori, Daniel Kressner, Nian Shao, Igor Simunec
2025	J	`jnl`	Compression Properties for large Toeplitz-like matrices. CoRR Bernhard Beckermann, Daniel Kressner, Heather Wilber
2025	J	`jnl`	Compression properties for large Toeplitz-like matrices. Numer. Algorithms Bernhard Beckermann, Daniel Kressner, Heather Wilber
2025	J	`jnl`	Interpolatory Dynamical Low-Rank Approximation: Theoretical Foundations and Algorithms. CoRR Benjamin Carrel, Daniel Kressner, Hei Yin Lam, Bart Vandereycken
2025	J	`jnl`	Lanczos with compression for symmetric matrix Lyapunov equations. CoRR Angelo A. Casulli, Francesco Hrobat, Daniel Kressner
2025	J	`jnl`	Low-Rank Tree Tensor Network Operators for Long-Range Pairwise Interactions. SIAM J. Sci. Comput. Gianluca Ceruti, Daniel Kressner, Dominik Sulz
2025	J	`jnl`	On the approximation of vector-valued functions by volume sampling. J. Complex. Daniel Kressner, Tingting Ni, André Uschmajew
2025	J	`jnl`	On the randomized SVD in infinite dimensions. CoRR Daniel Kressner, David Persson, André Uschmajew
2025	J	`jnl`	Preconditioned Low-Rank Riemannian Optimization for Symmetric Positive Definite Linear Matrix Equations. SIAM J. Sci. Comput. Ivan Bioli, Daniel Kressner, Leonardo Robol
2025	J	`jnl`	RJD-BASE: Multi-Modal Spectral Clustering via Randomized Joint Diagonalization. CoRR Haoze He, Artemis Pados, Daniel Kressner
2025	J	`jnl`	Randomized Low-Rank Runge-Kutta Methods. SIAM J. Matrix Anal. Appl. Hei Yin Lam, Gianluca Ceruti, Daniel Kressner
2025	J	`jnl`	Randomized Nyström Approximation of Non-negative Self-Adjoint Operators. SIAM J. Math. Data Sci. David Persson, Nicolas Boullé, Daniel Kressner
2025	J	`jnl`	Randomized methods for computing joint eigenvalues, with applications to multiparameter eigenvalue problems and root finding. Numer. Algorithms Haoze He, Daniel Kressner, Bor Plestenjak
2025	J	`jnl`	Stochastic trace estimation for parameter-dependent matrices applied to spectral density approximation. CoRR Fabio Matti, Haoze He, Daniel Kressner, Hei Yin Lam
2024	J	`jnl`	A preconditioned inverse iteration with an improved convergence guarantee. CoRR Foivos Alimisis, Daniel Kressner, Nian Shao, Bart Vandereycken
2024	J	`jnl`	A randomized algorithm for simultaneously diagonalizing symmetric matrices by congruence. CoRR Haoze He, Daniel Kressner
2024	J	`jnl`	A randomized small-block Lanczos method for large-scale null space computations. CoRR Daniel Kressner, Nian Shao
2024	J	`jnl`	A simple, randomized algorithm for diagonalizing normal matrices. CoRR Haoze He, Daniel Kressner
2024	J	`jnl`	Adaptive randomized pivoting for column subset selection, DEIM, and low-rank approximation. CoRR Alice Cortinovis, Daniel Kressner
2024	J	`jnl`	Approximation in the extended functional tensor train format. Adv. Comput. Math. Christoph Strössner, Bonan Sun, Daniel Kressner
2024	J	`jnl`	Computing Functions of Symmetric Hierarchically Semiseparable Matrices. CoRR Angelo A. Casulli, Daniel Kressner, Leonardo Robol
2024	J	`jnl`	Computing Functions of Symmetric Hierarchically Semiseparable Matrices. SIAM J. Matrix Anal. Appl. Angelo A. Casulli, Daniel Kressner, Leonardo Robol
2024	J	`jnl`	Low-rank Tree Tensor Network Operators for Long-Range Pairwise Interactions. CoRR Gianluca Ceruti, Daniel Kressner, Dominik Sulz
2024	J	`jnl`	Preconditioned Low-Rank Riemannian Optimization for Symmetric Positive Definite Linear Matrix Equations. CoRR Ivan Bioli, Daniel Kressner, Leonardo Robol
2024	J	`jnl`	Randomized Joint Diagonalization of Symmetric Matrices. SIAM J. Matrix Anal. Appl. Haoze He, Daniel Kressner
2024	J	`jnl`	Randomized Nyström approximation of non-negative self-adjoint operators. CoRR David Persson, Nicolas Boullé, Daniel Kressner
2024	J	`jnl`	Randomized Sketching of Nonlinear Eigenvalue Problems. SIAM J. Sci. Comput. Stefan Güttel, Daniel Kressner, Bart Vandereycken
2024	J	`jnl`	Randomized low-rank Runge-Kutta methods. CoRR Hei Yin Lam, Gianluca Ceruti, Daniel Kressner
2024	J	`jnl`	Randomized low-rank approximation of parameter-dependent matrices. Numer. Linear Algebra Appl. Daniel Kressner, Hei Yin Lam
2024	J	`jnl`	Randomized methods for computing joint eigenvalues, with applications to multiparameter eigenvalue problems and root finding. CoRR Haoze He, Daniel Kressner, Bor Plestenjak
2024	J	`jnl`	Solving a class of infinite-dimensional tensor eigenvalue problems by translational invariant tensor ring approximations. Numer. Linear Algebra Appl. Roel Van Beeumen, Lana Perisa, Daniel Kressner, Chao Yang
2024	J	`jnl`	Speeding Up Krylov Subspace Methods for Computing \(\boldsymbol{{f}(A){b}}\) via Randomization. SIAM J. Matrix Anal. Appl. Alice Cortinovis, Daniel Kressner, Yuji Nakatsukasa
2024	J	`jnl`	Subspace Acceleration for a Sequence of Linear Systems and Application to Plasma Simulation. J. Sci. Comput. Margherita Guido, Daniel Kressner, Paolo Ricci
2024	J	`jnl`	Subspace embedding with random Khatri-Rao products and its application to eigensolvers. CoRR Zvonimir Bujanovic, Luka Grubisic, Daniel Kressner, Hei Yin Lam
2023	J	`jnl`	A mixed precision LOBPCG algorithm. CoRR Daniel Kressner, Yuxin Ma, Meiyue Shao
2023	J	`jnl`	A mixed precision LOBPCG algorithm. Numer. Algorithms Daniel Kressner, Yuxin Ma, Meiyue Shao
2023	J	`jnl`	Analysis of a class of randomized numerical methods for singular matrix pencils. CoRR Daniel Kressner, Bor Plestenjak
2023	J	`jnl`	From low-rank retractions to dynamical low-rank approximation and back. CoRR Axel Séguin, Gianluca Ceruti, Daniel Kressner
2023	J	`jnl`	Improved ParaDiag via low-rank updates and interpolation. Numerische Mathematik Daniel Kressner, Stefano Massei, Junli Zhu
2023	J	`jnl`	Iterative refinement of Schur decompositions. Numer. Algorithms Zvonimir Bujanovic, Daniel Kressner, Christian Schröder
2023	J	`jnl`	Low-Rank Tensor Approximations for Solving Multimarginal Optimal Transport Problems. SIAM J. Imaging Sci. Christoph Strössner, Daniel Kressner
2023	J	`jnl`	On the approximation of vector-valued functions by samples. CoRR Daniel Kressner, Tingting Ni, André Uschmajew
2023	J	`jnl`	Randomized Low-Rank Approximation of Monotone Matrix Functions. SIAM J. Matrix Anal. Appl. David Persson, Daniel Kressner
2023	J	`jnl`	Randomized low-rank approximation of parameter-dependent matrices. CoRR Daniel Kressner, Hei Yin Lam
2023	J	`jnl`	Streaming Tensor Train Approximation. SIAM J. Sci. Comput. Daniel Kressner, Bart Vandereycken, Rik Voorhaar
2023	J	`jnl`	Subspace Acceleration for a Sequence of Linear Systems and Application to Plasma Simulation. CoRR Margherita Guido, Daniel Kressner, Paolo Ricci
2022	J	`jnl`	Approximation in the extended functional tensor train format. CoRR Christoph Strössner, Bonan Sun, Daniel Kressner
2022	J	`jnl`	Continuation Methods for Riemannian Optimization. SIAM J. Optim. Axel Séguin, Daniel Kressner
2022	J	`jnl`	Divide-and-Conquer Methods for Functions of Matrices with Banded or Hierarchical Low-Rank Structure. SIAM J. Matrix Anal. Appl. Alice Cortinovis, Daniel Kressner, Stefano Massei
2022	J	`jnl`	Hermite interpolation with retractions on manifolds. CoRR Axel Séguin, Daniel Kressner
2022	J	`jnl`	Hierarchical adaptive low-rank format with applications to discretized partial differential equations. Numer. Linear Algebra Appl. Stefano Massei, Leonardo Robol, Daniel Kressner
2022	J	`jnl`	Improved Variants of the Hutch++ Algorithm for Trace Estimation. SIAM J. Matrix Anal. Appl. David Persson, Alice Cortinovis, Daniel Kressner
2022	J	`jnl`	Improved parallel-in-time integration via low-rank updates and interpolation. CoRR Daniel Kressner, Stefano Massei, Junli Zhu
2022	J	`jnl`	Iterative Refinement of Schur decompositions. CoRR Zvonimir Bujanovic, Daniel Kressner, Christian Schröder
2022	J	`jnl`	Low-rank tensor approximations for solving multi-marginal optimal transport problems. CoRR Christoph Strössner, Daniel Kressner
2022	J	`jnl`	On Randomized Trace Estimates for Indefinite Matrices with an Application to Determinants. Found. Comput. Math. Alice Cortinovis, Daniel Kressner
2022	J	`jnl`	Randomized Joint Diagonalization of Symmetric Matrices. CoRR Haoze He, Daniel Kressner
2022	J	`jnl`	Randomized low-rank approximation of monotone matrix functions. CoRR David Persson, Daniel Kressner
2022	J	`jnl`	Randomized sketching of nonlinear eigenvalue problems. CoRR Stefan Güttel, Daniel Kressner, Bart Vandereycken
2022	J	`jnl`	Singular quadratic eigenvalue problems: Linearization and weak condition numbers. CoRR Daniel Kressner, Ivana Sain Glibic
2022	J	`jnl`	Speeding up Krylov subspace methods for computing f(A)b via randomization. CoRR Alice Cortinovis, Daniel Kressner, Yuji Nakatsukasa
2022	J	`jnl`	Streaming Tensor Train Approximation. CoRR Daniel Kressner, Bart Vandereycken, Rik Voorhaar
2021	J	`jnl`	A Flexible Power Method for Solving Infinite Dimensional Tensor Eigenvalue Problems. CoRR Roel Van Beeumen, Lana Perisa, Daniel Kressner, Chao Yang
2021	J	`jnl`	A fast spectral divide-and-conquer method for banded matrices. Numer. Linear Algebra Appl. Ana Susnjara, Daniel Kressner
2021	J	`jnl`	Compress-and-restart block Krylov subspace methods for Sylvester matrix equations. Numer. Linear Algebra Appl. Daniel Kressner, Kathryn Lund, Stefano Massei, Davide Palitta
2021	J	`jnl`	Computing low-rank rightmost eigenpairs of a class of matrix-valued linear operators. Adv. Comput. Math. Nicola Guglielmi, Daniel Kressner, Carmela Scalone
2021	J	`jnl`	Divide and conquer methods for functions of matrices with banded or hierarchical low-rank structure. CoRR Alice Cortinovis, Daniel Kressner, Stefano Massei
2021	J	`jnl`	Fast global spectral methods for three-dimensional partial differential equations. CoRR Christoph Strössner, Daniel Kressner
2021	J	`jnl`	Functional Tucker Approximation Using Chebyshev Interpolation. SIAM J. Sci. Comput. Sergey Dolgov, Daniel Kressner, Christoph Strössner
2021	J	`jnl`	Hierarchical adaptive low-rank format with applications to discretized PDEs. CoRR Stefano Massei, Leonardo Robol, Daniel Kressner
2021	J	`jnl`	Improved variants of the Hutch++ algorithm for trace estimation. CoRR David Persson, Alice Cortinovis, Daniel Kressner
2021	J	`jnl`	Low-Rank Updates of Matrix Functions II: Rational Krylov Methods. SIAM J. Numer. Anal. Bernhard Beckermann, Alice Cortinovis, Daniel Kressner, Marcel Schweitzer
2021	J	`jnl`	Norm and Trace Estimation with Random Rank-one Vectors. SIAM J. Matrix Anal. Appl. Zvonimir Bujanovic, Daniel Kressner
2020	J	`jnl`	A bivariate extension of the Crouzeix-Palencia result with an application to Fréchet derivatives of matrix functions. CoRR Michel Crouzeix, Daniel Kressner
2020	J	`jnl`	Certified and fast computations with shallow covariance kernels. CoRR Daniel Kressner, Jonas Latz, Stefano Massei, Elisabeth Ullmann
2020	J	`jnl`	Compress-and-restart block Krylov subspace methods for Sylvester matrix equations. CoRR Daniel Kressner, Kathryn Lund, Stefano Massei, Davide Palitta
2020	J	`jnl`	Functional Tucker approximation using Chebyshev interpolation. CoRR Sergey Dolgov, Daniel Kressner, Christoph Strössner
2020	J	`jnl`	Limited-memory polynomial methods for large-scale matrix functions. CoRR Stefan Güttel, Daniel Kressner, Kathryn Lund
2020	J	`jnl`	Low-Rank Approximation in the Frobenius Norm by Column and Row Subset Selection. SIAM J. Matrix Anal. Appl. Alice Cortinovis, Daniel Kressner
2020	J	`jnl`	Low-Rank Tensor Approximation for Chebyshev Interpolation in Parametric Option Pricing. SIAM J. Financial Math. Kathrin Glau, Daniel Kressner, Francesco Statti
2020	J	`jnl`	Low-rank updates and divide-and-conquer methods for quadratic matrix equations. Numer. Algorithms Daniel Kressner, Patrick Kürschner, Stefano Massei
2020	J	`jnl`	Low-rank updates of matrix functions II: Rational Krylov methods. CoRR Bernhard Beckermann, Alice Cortinovis, Daniel Kressner, Marcel Schweitzer
2020	J	`jnl`	Norm and trace estimation with random rank-one vectors. CoRR Zvonimir Bujanovic, Daniel Kressner
2020	J	`jnl`	On randomized trace estimates for indefinite matrices with an application to determinants. CoRR Alice Cortinovis, Daniel Kressner
2020	C	`conf`	Quasi-Optimal Sampling to Learn Basis Updates for Online Adaptive Model Reduction with Adaptive Empirical Interpolation. ACC Alice Cortinovis, Daniel Kressner, Stefano Massei, Benjamin Peherstorfer
2020	J	`jnl`	Recursive blocked algorithms for linear systems with Kronecker product structure. Numer. Algorithms Minhong Chen, Daniel Kressner
2020	J	`jnl`	hm-toolbox: MATLAB Software for HODLR and HSS Matrices. SIAM J. Sci. Comput. Stefano Massei, Leonardo Robol, Daniel Kressner
2019	J	`jnl`	Low-Rank Updates and a Divide-And-Conquer Method for Linear Matrix Equations. SIAM J. Sci. Comput. Daniel Kressner, Stefano Massei, Leonardo Robol
2019	J	`jnl`	Low-rank approximation in the Frobenius norm by column and row subset selection. CoRR Alice Cortinovis, Daniel Kressner
2019	J	`jnl`	Low-rank updates and divide-and-conquer methods for quadratic matrix equations. CoRR Daniel Kressner, Patrick Kürschner, Stefano Massei
2019	J	`jnl`	On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices. CoRR Alice Cortinovis, Daniel Kressner, Stefano Massei
2019	J	`jnl`	Recursive blocked algorithms for linear systems with Kronecker product structure. CoRR Minhong Chen, Daniel Kressner
2019	J	`jnl`	hm-toolbox: Matlab software for HODLR and HSS matrices. CoRR Stefano Massei, Leonardo Robol, Daniel Kressner
2018	J	`jnl`	7th Workshop on Matrix Equations and Tensor Techniques. Numer. Linear Algebra Appl. Peter Benner, Heike Faßbender, Lars Grasedyck, Daniel Kressner, Beatrice Meini, Valeria Simoncini
2018	J	`jnl`	A Householder-Based Algorithm for Hessenberg-Triangular Reduction. SIAM J. Matrix Anal. Appl. Zvonimir Bujanovic, Lars Karlsson, Daniel Kressner
2018	J	`jnl`	A fast spectral divide-and-conquer method for banded matrices. CoRR Ana Susnjara, Daniel Kressner
2018	J	`jnl`	Distributed Signal Processing via Chebyshev Polynomial Approximation. IEEE Trans. Signal Inf. Process. over Networks David I. Shuman, Pierre Vandergheynst, Daniel Kressner, Pascal Frossard
2018	J	`jnl`	Fast Computation of the Matrix Exponential for a Toeplitz Matrix. SIAM J. Matrix Anal. Appl. Daniel Kressner, Robert Luce
2018	J	`jnl`	Low-Rank Updates of Matrix Functions. SIAM J. Matrix Anal. Appl. Bernhard Beckermann, Daniel Kressner, Marcel Schweitzer
2018	J	`jnl`	Subspace Acceleration for the Crawford Number and Related Eigenvalue Optimization Problems. SIAM J. Matrix Anal. Appl. Daniel Kressner, Ding Lu, Bart Vandereycken
2017	J	`jnl`	A Novel Iterative Method To Approximate Structured Singular Values. SIAM J. Matrix Anal. Appl. Nicola Guglielmi, Mutti-Ur Rehman, Daniel Kressner
2017	J	`jnl`	Fast Computation of Spectral Projectors of Banded Matrices. SIAM J. Matrix Anal. Appl. Daniel Kressner, Ana Susnjara
2017	J	`jnl`	Learning Heat Diffusion Graphs. IEEE Trans. Signal Inf. Process. over Networks Dorina Thanou, Xiaowen Dong, Daniel Kressner, Pascal Frossard
2017	J	`jnl`	Low-rank updates of matrix functions. CoRR Bernhard Beckermann, Daniel Kressner, Marcel Schweitzer
2017	J	`jnl`	Perturbation of Higher-Order Singular Values. SIAM J. Appl. Algebra Geom. Wolfgang Hackbusch, Daniel Kressner, André Uschmajew
2017	J	`jnl`	Recompression of Hadamard Products of Tensors in Tucker Format. SIAM J. Sci. Comput. Daniel Kressner, Lana Perisa
2017	J	`jnl`	Structure-Preserving Low Multilinear Rank Approximation of Antisymmetric Tensors. SIAM J. Matrix Anal. Appl. Erna Begovic Kovac, Daniel Kressner
2016	J	`jnl`	A block algorithm for computing antitriangular factorizations of symmetric matrices. Numer. Algorithms Zvonimir Bujanovic, Daniel Kressner
2016	J	`jnl`	Learning heat diffusion graphs. CoRR Dorina Thanou, Xiaowen Dong, Daniel Kressner, Pascal Frossard
2016	J	`jnl`	Parallel algorithms for tensor completion in the CP format. Parallel Comput. Lars Karlsson, Daniel Kressner, André Uschmajew
2016	J	`jnl`	Preconditioned Low-rank Riemannian Optimization for Linear Systems with Tensor Product Structure. SIAM J. Sci. Comput. Daniel Kressner, Michael Steinlechner, Bart Vandereycken
2016	J	`jnl`	Projection methods for large-scale T-Sylvester equations. Math. Comput. Froilán M. Dopico, Javier González, Daniel Kressner, Valeria Simoncini
2016	J	`jnl`	Reduced Basis Methods: From Low-Rank Matrices to Low-Rank Tensors. SIAM J. Sci. Comput. Jonas Ballani, Daniel Kressner
2016	J	`jnl`	Subspace Acceleration for Large-Scale Parameter-Dependent Hermitian Eigenproblems. SIAM J. Matrix Anal. Appl. Petar Sirkovic, Daniel Kressner
2015	J	`jnl`	Algorithm 953: Parallel Library Software for the Multishift QR Algorithm with Aggressive Early Deflation. ACM Trans. Math. Softw. Robert A. Granat, Bo Kågström, Daniel Kressner, Meiyue Shao
2015	J	`jnl`	Low rank differential equations for Hamiltonian matrix nearness problems. Numerische Mathematik Nicola Guglielmi, Daniel Kressner, Christian Lubich
2015	J	`jnl`	Low-Rank Tensor Approximation for High-Order Correlation Functions of Gaussian Random Fields. SIAM/ASA J. Uncertain. Quantification Daniel Kressner, Rajesh Kumar, Fabio Nobile, Christine Tobler
2015	—	`ed.`	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 ENUMATH Assyr Abdulle, Simone Deparis, Daniel Kressner, Fabio Nobile, Marco Picasso
2015	J	`jnl`	Truncated low-rank methods for solving general linear matrix equations. Numer. Linear Algebra Appl. Daniel Kressner, Petar Sirkovic
2014	J	`jnl`	A Parallel QZ Algorithm for Distributed Memory HPC Systems. SIAM J. Sci. Comput. Björn Adlerborn, Bo Kågström, Daniel Kressner
2014	J	`jnl`	A preconditioned low-rank CG method for parameter-dependent Lyapunov matrix equations. Numer. Linear Algebra Appl. Daniel Kressner, Martin Plesinger, Christine Tobler
2014	J	`jnl`	Algorithm 941: htucker - A Matlab Toolbox for Tensors in Hierarchical Tucker Format. ACM Trans. Math. Softw. Daniel Kressner, Christine Tobler
2014	J	`jnl`	An indefinite variant of LOBPCG for definite matrix pencils. Numer. Algorithms Daniel Kressner, Marija Miloloza Pandur, Meiyue Shao
2014	J	`jnl`	Computing Extremal Points of Symplectic Pseudospectra and Solving Symplectic Matrix Nearness Problems. SIAM J. Matrix Anal. Appl. Nicola Guglielmi, Daniel Kressner, Christian Lubich
2014	—	`conf`	Low-Rank Tensor Methods for Communicating Markov Processes. QEST Daniel Kressner, Francisco Macedo
2014	J	`jnl`	Low-Rank Tensor Methods with Subspace Correction for Symmetric Eigenvalue Problems. SIAM J. Sci. Comput. Daniel Kressner, Michael Steinlechner, André Uschmajew
2014	J	`jnl`	Memory-efficient Arnoldi algorithms for linearizations of matrix polynomials in Chebyshev basis. Numer. Linear Algebra Appl. Daniel Kressner, José E. Román
2014	J	`jnl`	Nonlinear Eigenvalue Problems with Specified Eigenvalues. SIAM J. Matrix Anal. Appl. Michael Karow, Daniel Kressner, Emre Mengi
2014	J	`jnl`	On a Perturbation Bound for Invariant Subspaces of Matrices. SIAM J. Matrix Anal. Appl. Michael Karow, Daniel Kressner
2014	J	`jnl`	On the eigenvalue decay of solutions to operator Lyapunov equations. Syst. Control. Lett. Luka Grubisic, Daniel Kressner
2014	J	`jnl`	Optimally packed chains of bulges in multishift QR algorithms. ACM Trans. Math. Softw. Lars Karlsson, Daniel Kressner, Bruno Lang
2014	J	`jnl`	Subspace Methods for Computing the Pseudospectral Abscissa and the Stability Radius. SIAM J. Matrix Anal. Appl. Daniel Kressner, Bart Vandereycken
2013	J	`jnl`	An Error Analysis of Galerkin Projection Methods for Linear Systems with Tensor Product Structure. SIAM J. Numer. Anal. Bernhard Beckermann, Daniel Kressner, Christine Tobler
2012	C	`conf`	New SLICOT routines based on structured eigensolvers. CCA Vasile Sima, Peter Benner, Daniel Kressner
2011	J	`jnl`	A mixed-precision algorithm for the solution of Lyapunov equations on hybrid CPU-GPU platforms. Parallel Comput. Peter Benner, Pablo Ezzatti, Daniel Kressner, Enrique S. Quintana-Ortí, Alfredo Remón
2011	J	`jnl`	Condensed forms for the symmetric eigenvalue problem on multi-threaded architectures. Concurr. Comput. Pract. Exp. Paolo Bientinesi, Francisco D. Igual, Daniel Kressner, Matthias Petschow, Enrique S. Quintana-Ortí
2011	J	`jnl`	Continuation of eigenvalues and invariant pairs for parameterized nonlinear eigenvalue problems. Numerische Mathematik Wolf-Jürgen Beyn, Cedric Effenberger, Daniel Kressner
2011	—	`conf`	Fusion of Digital Elevation Models Using Sparse Representations. PIA Haris Papasaika, Effrosini Kokiopoulou, Emmanuel Baltsavias, Konrad Schindler, Daniel Kressner
2011	J	`jnl`	Low-Rank Tensor Krylov Subspace Methods for Parametrized Linear Systems. SIAM J. Matrix Anal. Appl. Daniel Kressner, Christine Tobler
2011	J	`jnl`	Optimal Image Alignment With Random Projections of Manifolds: Algorithm and Geometric Analysis. IEEE Trans. Image Process. Effrosini Kokiopoulou, Daniel Kressner, Pascal Frossard
2011	A*	`conf`	Optimal similarity registration of volumetric images. CVPR Effrosini Kokiopoulou, Daniel Kressner, Michail Zervos, Nikos Paragios
2011	J	`jnl`	Preconditioned Low-Rank Methods for High-Dimensional Elliptic PDE Eigenvalue Problems. Comput. Methods Appl. Math. Daniel Kressner, Christine Tobler
2010	J	`jnl`	A Novel Parallel QR Algorithm for Hybrid Distributed Memory HPC Systems. SIAM J. Sci. Comput. Robert Granat, Bo Kågström, Daniel Kressner
2010	—	`conf`	Accelerating Model Reduction of Large Linear Systems with Graphics Processors. PARA (2) Peter Benner, Pablo Ezzatti, Daniel Kressner, Enrique S. Quintana-Ortí, Alfredo Remón
2010	J	`jnl`	Die SLICOT-Toolboxen für Matlab (The SLICOT Toolboxes for Matlab). Autom. Peter Benner, Daniel Kressner, Vasile Sima, András Varga
2010	J	`jnl`	Krylov Subspace Methods for Linear Systems with Tensor Product Structure. SIAM J. Matrix Anal. Appl. Daniel Kressner, Christine Tobler
2010	—	`conf`	On Aggressive Early Deflation in Parallel Variants of the QR Algorithm. PARA (1) Bo Kågström, Daniel Kressner, Meiyue Shao
2010	—	`conf`	On the Curvature of Pattern Transformation Manifolds: Numerical Estimation and Applications. AAAI Fall Symposium: Manifold Learning and Its Applications Effrosini Kokiopoulou, Daniel Kressner, Pascal Frossard
2010	J	`jnl`	On the computation of structured singular values and pseudospectra. Syst. Control. Lett. Michael Karow, Effrosini Kokiopoulou, Daniel Kressner
2009	J	`jnl`	A block Newton method for nonlinear eigenvalue problems. Numerische Mathematik Daniel Kressner
2009	J	`jnl`	Implicit QR algorithms for palindromic and even eigenvalue problems. Numer. Algorithms Daniel Kressner, Christian Schröder, David S. Watkins
2009	J	`jnl`	On the structured distance to uncontrollability. Syst. Control. Lett. Michael Karow, Daniel Kressner
2009	—	`conf`	Optimal image alignment with random measurements. EUSIPCO Effrosini Kokiopoulou, Daniel Kressner, Pascal Frossard
2009	J	`jnl`	Parallel eigenvalue reordering in real Schur forms. Concurr. Comput. Pract. Exp. Robert Granat, Bo Kågström, Daniel Kressner
2009	—	`conf`	Reduction to Condensed Forms for Symmetric Eigenvalue Problems on Multi-core Architectures. PPAM (1) Paolo Bientinesi, Francisco D. Igual, Daniel Kressner, Enrique S. Quintana-Ortí
2009	J	`jnl`	Structured Hölder Condition Numbers for Multiple Eigenvalues. SIAM J. Matrix Anal. Appl. Daniel Kressner, María José Peláez, Julio Moro
2008	—	`conf`	A parallel Schur method for solving continuous-time algebraic Riccati equations. CACSD Robert Granat, Bo Kågström, Daniel Kressner
2008	J	`jnl`	Block variants of Hammarling's method for solving Lyapunov equations. ACM Trans. Math. Softw. Daniel Kressner
2008	—	`conf`	Memory-efficient Krylov subspace techniques for solving large-scale Lyapunov equations. CACSD Daniel Kressner
2008	J	`jnl`	The Effect of Aggressive Early Deflation on the Convergence of the QR Algorithm. SIAM J. Matrix Anal. Appl. Daniel Kressner
2007	—	`conf`	MATLAB tools for solving periodic eigenvalue problems. PSYCO Robert Granat, Bo Kågström, Daniel Kressner
2006	J	`jnl`	A periodic Krylov-Schur algorithm for large matrix products. Numerische Mathematik Daniel Kressner
2006	J	`jnl`	Algorithm 854: Fortran 77 subroutines for computing the eigenvalues of Hamiltonian matrices II. ACM Trans. Math. Softw. Peter Benner, Daniel Kressner
2006	J	`jnl`	Block algorithms for reordering standard and generalized schur forms. ACM Trans. Math. Softw. Daniel Kressner
2006	J	`jnl`	Multishift Variants of the QZ Algorithm with Aggressive Early Deflation. SIAM J. Matrix Anal. Appl. Bo Kågström, Daniel Kressner
2006	—	`conf`	Parallel Variants of the Multishift QZ Algorithm with Advanced Deflation Techniques. PARA Björn Adlerborn, Bo Kågström, Daniel Kressner
2006	—	`conf`	Recent Advances in Dense Linear Algebra: Minisymposium Abstract. PARA Daniel Kressner, Julien Langou
2006	—	`conf`	Structure-preserving eigenvalue solvers for robust stability and controllability estimates. CDC Daniel Kressner, Emre Mengi
2006	J	`jnl`	Structured Condition Numbers for Invariant Subspaces. SIAM J. Matrix Anal. Appl. Ralph Byers, Daniel Kressner
2006	J	`jnl`	Structured Eigenvalue Condition Numbers. SIAM J. Matrix Anal. Appl. Michael Karow, Daniel Kressner, Françoise Tisseur
2005	J	`jnl`	Le retard en convergence des dérivées pour les calculs itératifs avec point fixe. ARIMA J. Andreas Griewank, Daniel Kressner
2005	—	`conf`	New Hamiltonian Eigensolvers with Applications in Control. CDC/ECC Peter Benner, Daniel Kressner
2005	—	`book`	Numerical Methods for General and Structured Eigenvalue Problems. Daniel Kressner
2005	J	`jnl`	Perturbation Bounds for Isotropic Invariant Subspaces of Skew-Hamiltonian Matrices. SIAM J. Matrix Anal. Appl. Daniel Kressner
2003	—	`conf`	Large periodic Lyapunov equations: Algorithms and applications. ECC Daniel Kressner
2003	J	`jnl`	Structure preservation: a challenge in computational control. Future Gener. Comput. Syst. Peter Benner, Daniel Kressner, Volker Mehrmann
2002	Misc	`conf`	Semi-automatic Generation of Web-Based Computing Environments for Software Libraries. International Conference on Computational Science (1) Pedher Johansson, Daniel Kressner