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2020 – today
- 2025
[j92]Daniel Kressner, Tingting Ni, André Uschmajew:
On the approximation of vector-valued functions by volume sampling. J. Complex. 86: 101887 (2025)- 2024
- [j91]Christoph Strössner
, Bonan Sun, Daniel Kressner:
Approximation in the extended functional tensor train format. Adv. Comput. Math. 50(3): 54 (2024) - [j90]Margherita Guido, Daniel Kressner, Paolo Ricci:
Subspace Acceleration for a Sequence of Linear Systems and Application to Plasma Simulation. J. Sci. Comput. 99(3): 68 (2024) - [j89]Roel Van Beeumen, Lana Perisa, Daniel Kressner, Chao Yang:
Solving a class of infinite-dimensional tensor eigenvalue problems by translational invariant tensor ring approximations. Numer. Linear Algebra Appl. 31(6) (2024) - [j88]Daniel Kressner, Hei Yin Lam:
Randomized low-rank approximation of parameter-dependent matrices. Numer. Linear Algebra Appl. 31(6) (2024) - [j87]Alice Cortinovis, Daniel Kressner, Yuji Nakatsukasa:
Speeding Up Krylov Subspace Methods for Computing \(\boldsymbol{{f}(A){b}}\) via Randomization. SIAM J. Matrix Anal. Appl. 45(1): 619-633 (2024) - [j86]Haoze He, Daniel Kressner:
Randomized Joint Diagonalization of Symmetric Matrices. SIAM J. Matrix Anal. Appl. 45(1): 661-684 (2024) - [j85]Stefan Güttel, Daniel Kressner, Bart Vandereycken:
Randomized Sketching of Nonlinear Eigenvalue Problems. SIAM J. Sci. Comput. 46(5): 3022- (2024) - [i48]Haoze He, Daniel Kressner:
A randomized algorithm for simultaneously diagonalizing symmetric matrices by congruence. CoRR abs/2402.16557 (2024) - [i47]Angelo A. Casulli, Daniel Kressner, Leonardo Robol:
Computing Functions of Symmetric Hierarchically Semiseparable Matrices. CoRR abs/2402.17369 (2024) - [i46]David Persson, Nicolas Boullé, Daniel Kressner:
Randomized Nyström approximation of non-negative self-adjoint operators. CoRR abs/2404.00960 (2024) - [i45]Gianluca Ceruti, Daniel Kressner, Dominik Sulz:
Low-rank Tree Tensor Network Operators for Long-Range Pairwise Interactions. CoRR abs/2405.09952 (2024) - [i44]Zvonimir Bujanovic, Luka Grubisic, Daniel Kressner, Hei Yin Lam:
Subspace embedding with random Khatri-Rao products and its application to eigensolvers. CoRR abs/2405.11962 (2024) - [i43]Haoze He, Daniel Kressner:
A simple, randomized algorithm for diagonalizing normal matrices. CoRR abs/2405.18399 (2024) - [i42]Daniel Kressner, Nian Shao:
A randomized small-block Lanczos method for large-scale null space computations. CoRR abs/2407.04634 (2024) - [i41]Ivan Bioli, Daniel Kressner, Leonardo Robol:
Preconditioned Low-Rank Riemannian Optimization for Symmetric Positive Definite Linear Matrix Equations. CoRR abs/2408.16416 (2024) - [i40]Haoze He, Daniel Kressner, Bor Plestenjak:
Randomized methods for computing joint eigenvalues, with applications to multiparameter eigenvalue problems and root finding. CoRR abs/2409.00500 (2024) - [i39]Hei Yin Lam, Gianluca Ceruti, Daniel Kressner:
Randomized low-rank Runge-Kutta methods. CoRR abs/2409.06384 (2024) - 2023
- [j84]Zvonimir Bujanovic, Daniel Kressner, Christian Schröder:
Iterative refinement of Schur decompositions. Numer. Algorithms 92(1): 247-267 (2023) - [j83]Daniel Kressner, Yuxin Ma, Meiyue Shao:
A mixed precision LOBPCG algorithm. Numer. Algorithms 94(4): 1653-1671 (2023) - [j82]Daniel Kressner, Stefano Massei, Junli Zhu:
Improved ParaDiag via low-rank updates and interpolation. Numerische Mathematik 155(1-2): 175-209 (2023) - [j81]Christoph Strössner, Daniel Kressner:
Low-Rank Tensor Approximations for Solving Multimarginal Optimal Transport Problems. SIAM J. Imaging Sci. 16(1): 169-191 (2023) - [j80]David Persson, Daniel Kressner:
Randomized Low-Rank Approximation of Monotone Matrix Functions. SIAM J. Matrix Anal. Appl. 44(2): 894-918 (2023) - [j79]Daniel Kressner, Bart Vandereycken, Rik Voorhaar:
Streaming Tensor Train Approximation. SIAM J. Sci. Comput. 45(5): 2610- (2023) - [i38]Daniel Kressner, Yuxin Ma, Meiyue Shao:
A mixed precision LOBPCG algorithm. CoRR abs/2302.12528 (2023) - [i37]Daniel Kressner, Hei Yin Lam:
Randomized low-rank approximation of parameter-dependent matrices. CoRR abs/2302.12761 (2023) - [i36]Daniel Kressner, Tingting Ni, André Uschmajew:
On the approximation of vector-valued functions by samples. CoRR abs/2304.03212 (2023) - [i35]Daniel Kressner, Bor Plestenjak:
Analysis of a class of randomized numerical methods for singular matrix pencils. CoRR abs/2305.13118 (2023) - [i34]Margherita Guido, Daniel Kressner, Paolo Ricci:
Subspace Acceleration for a Sequence of Linear Systems and Application to Plasma Simulation. CoRR abs/2309.02156 (2023) - [i33]Axel Séguin, Gianluca Ceruti, Daniel Kressner:
From low-rank retractions to dynamical low-rank approximation and back. CoRR abs/2309.06125 (2023) - 2022
- [j78]Alice Cortinovis, Daniel Kressner:
On Randomized Trace Estimates for Indefinite Matrices with an Application to Determinants. Found. Comput. Math. 22(3): 875-903 (2022) - [j77]Stefano Massei, Leonardo Robol, Daniel Kressner:
Hierarchical adaptive low-rank format with applications to discretized partial differential equations. Numer. Linear Algebra Appl. 29(6) (2022) - [j76]Axel Séguin, Daniel Kressner:
Continuation Methods for Riemannian Optimization. SIAM J. Optim. 32(2): 1069-1093 (2022) - [j75]Alice Cortinovis, Daniel Kressner, Stefano Massei:
Divide-and-Conquer Methods for Functions of Matrices with Banded or Hierarchical Low-Rank Structure. SIAM J. Matrix Anal. Appl. 43(1): 151-177 (2022) - [j74]David Persson, Alice Cortinovis, Daniel Kressner:
Improved Variants of the Hutch++ Algorithm for Trace Estimation. SIAM J. Matrix Anal. Appl. 43(3): 1162-1185 (2022) - [i32]Christoph Strössner, Daniel Kressner:
Low-rank tensor approximations for solving multi-marginal optimal transport problems. CoRR abs/2202.07340 (2022) - [i31]Zvonimir Bujanovic, Daniel Kressner, Christian Schröder:
Iterative Refinement of Schur decompositions. CoRR abs/2203.10879 (2022) - [i30]Daniel Kressner, Stefano Massei, Junli Zhu:
Improved parallel-in-time integration via low-rank updates and interpolation. CoRR abs/2204.03073 (2022) - [i29]Daniel Kressner, Ivana Sain Glibic:
Singular quadratic eigenvalue problems: Linearization and weak condition numbers. CoRR abs/2204.07424 (2022) - [i28]Daniel Kressner, Bart Vandereycken, Rik Voorhaar:
Streaming Tensor Train Approximation. CoRR abs/2208.02600 (2022) - [i27]David Persson, Daniel Kressner:
Randomized low-rank approximation of monotone matrix functions. CoRR abs/2209.11023 (2022) - [i26]Christoph Strössner, Bonan Sun, Daniel Kressner:
Approximation in the extended functional tensor train format. CoRR abs/2211.11338 (2022) - [i25]Stefan Güttel, Daniel Kressner, Bart Vandereycken:
Randomized sketching of nonlinear eigenvalue problems. CoRR abs/2211.12175 (2022) - [i24]Haoze He, Daniel Kressner:
Randomized Joint Diagonalization of Symmetric Matrices. CoRR abs/2212.07248 (2022) - [i23]Axel Séguin, Daniel Kressner:
Hermite interpolation with retractions on manifolds. CoRR abs/2212.12259 (2022) - [i22]Alice Cortinovis, Daniel Kressner, Yuji Nakatsukasa:
Speeding up Krylov subspace methods for computing f(A)b via randomization. CoRR abs/2212.12758 (2022) - 2021
- [j73]Nicola Guglielmi, Daniel Kressner, Carmela Scalone:
Computing low-rank rightmost eigenpairs of a class of matrix-valued linear operators. Adv. Comput. Math. 47(5): 66 (2021) - [j72]Daniel Kressner, Kathryn Lund, Stefano Massei, Davide Palitta:
Compress-and-restart block Krylov subspace methods for Sylvester matrix equations. Numer. Linear Algebra Appl. 28(1) (2021) - [j71]Ana Susnjara, Daniel Kressner:
A fast spectral divide-and-conquer method for banded matrices. Numer. Linear Algebra Appl. 28(4) (2021) - [j70]Zvonimir Bujanovic, Daniel Kressner:
Norm and Trace Estimation with Random Rank-one Vectors. SIAM J. Matrix Anal. Appl. 42(1): 202-223 (2021) - [j69]Bernhard Beckermann, Alice Cortinovis, Daniel Kressner, Marcel Schweitzer:
Low-Rank Updates of Matrix Functions II: Rational Krylov Methods. SIAM J. Numer. Anal. 59(3): 1325-1347 (2021) - [j68]Sergey Dolgov, Daniel Kressner, Christoph Strössner:
Functional Tucker Approximation Using Chebyshev Interpolation. SIAM J. Sci. Comput. 43(3): A2190-A2210 (2021) - [i21]Roel Van Beeumen, Lana Perisa, Daniel Kressner, Chao Yang:
A Flexible Power Method for Solving Infinite Dimensional Tensor Eigenvalue Problems. CoRR abs/2102.00146 (2021) - [i20]Stefano Massei, Leonardo Robol, Daniel Kressner:
Hierarchical adaptive low-rank format with applications to discretized PDEs. CoRR abs/2104.11456 (2021) - [i19]Alice Cortinovis, Daniel Kressner, Stefano Massei:
Divide and conquer methods for functions of matrices with banded or hierarchical low-rank structure. CoRR abs/2107.04337 (2021) - [i18]David Persson, Alice Cortinovis, Daniel Kressner:
Improved variants of the Hutch++ algorithm for trace estimation. CoRR abs/2109.10659 (2021) - [i17]Christoph Strössner, Daniel Kressner:
Fast global spectral methods for three-dimensional partial differential equations. CoRR abs/2111.04585 (2021) - 2020
- [j67]Daniel Kressner, Patrick Kürschner, Stefano Massei:
Low-rank updates and divide-and-conquer methods for quadratic matrix equations. Numer. Algorithms 84(2): 717-741 (2020) - [j66]Minhong Chen, Daniel Kressner:
Recursive blocked algorithms for linear systems with Kronecker product structure. Numer. Algorithms 84(3): 1199-1216 (2020) - [j65]Kathrin Glau, Daniel Kressner, Francesco Statti:
Low-Rank Tensor Approximation for Chebyshev Interpolation in Parametric Option Pricing. SIAM J. Financial Math. 11(3): 897-927 (2020) - [j64]Alice Cortinovis, Daniel Kressner:
Low-Rank Approximation in the Frobenius Norm by Column and Row Subset Selection. SIAM J. Matrix Anal. Appl. 41(4): 1651-1673 (2020) - [j63]Stefano Massei, Leonardo Robol, Daniel Kressner:
hm-toolbox: MATLAB Software for HODLR and HSS Matrices. SIAM J. Sci. Comput. 42(2): C43-C68 (2020) - [c19]Alice Cortinovis, Daniel Kressner, Stefano Massei, Benjamin Peherstorfer:
Quasi-Optimal Sampling to Learn Basis Updates for Online Adaptive Model Reduction with Adaptive Empirical Interpolation. ACC 2020: 2472-2477 - [i16]Daniel Kressner, Jonas Latz, Stefano Massei, Elisabeth Ullmann:
Certified and fast computations with shallow covariance kernels. CoRR abs/2001.09187 (2020) - [i15]Daniel Kressner, Kathryn Lund, Stefano Massei, Davide Palitta:
Compress-and-restart block Krylov subspace methods for Sylvester matrix equations. CoRR abs/2002.01506 (2020) - [i14]Stefan Güttel, Daniel Kressner, Kathryn Lund:
Limited-memory polynomial methods for large-scale matrix functions. CoRR abs/2002.01682 (2020) - [i13]Zvonimir Bujanovic, Daniel Kressner:
Norm and trace estimation with random rank-one vectors. CoRR abs/2004.06433 (2020) - [i12]Alice Cortinovis, Daniel Kressner:
On randomized trace estimates for indefinite matrices with an application to determinants. CoRR abs/2005.10009 (2020) - [i11]Michel Crouzeix, Daniel Kressner:
A bivariate extension of the Crouzeix-Palencia result with an application to Fréchet derivatives of matrix functions. CoRR abs/2007.09784 (2020) - [i10]Sergey Dolgov, Daniel Kressner, Christoph Strössner:
Functional Tucker approximation using Chebyshev interpolation. CoRR abs/2007.16126 (2020) - [i9]Bernhard Beckermann, Alice Cortinovis, Daniel Kressner, Marcel Schweitzer:
Low-rank updates of matrix functions II: Rational Krylov methods. CoRR abs/2008.11501 (2020)
2010 – 2019
- 2019
- [j62]Daniel Kressner, Stefano Massei, Leonardo Robol:
Low-Rank Updates and a Divide-And-Conquer Method for Linear Matrix Equations. SIAM J. Sci. Comput. 41(2): A848-A876 (2019) - [i8]Alice Cortinovis, Daniel Kressner, Stefano Massei:
On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices. CoRR abs/1902.02283 (2019) - [i7]Daniel Kressner, Patrick Kürschner, Stefano Massei:
Low-rank updates and divide-and-conquer methods for quadratic matrix equations. CoRR abs/1903.02343 (2019) - [i6]Minhong Chen, Daniel Kressner:
Recursive blocked algorithms for linear systems with Kronecker product structure. CoRR abs/1905.09539 (2019) - [i5]Alice Cortinovis, Daniel Kressner:
Low-rank approximation in the Frobenius norm by column and row subset selection. CoRR abs/1908.06059 (2019) - [i4]Stefano Massei, Leonardo Robol, Daniel Kressner:
hm-toolbox: Matlab software for HODLR and HSS matrices. CoRR abs/1909.07909 (2019) - 2018
- [j61]Peter Benner, Heike Faßbender, Lars Grasedyck, Daniel Kressner, Beatrice Meini, Valeria Simoncini:
7th Workshop on Matrix Equations and Tensor Techniques. Numer. Linear Algebra Appl. 25(6) (2018) - [j60]Daniel Kressner, Robert Luce:
Fast Computation of the Matrix Exponential for a Toeplitz Matrix. SIAM J. Matrix Anal. Appl. 39(1): 23-47 (2018) - [j59]Bernhard Beckermann, Daniel Kressner, Marcel Schweitzer:
Low-Rank Updates of Matrix Functions. SIAM J. Matrix Anal. Appl. 39(1): 539-565 (2018) - [j58]Daniel Kressner, Ding Lu, Bart Vandereycken:
Subspace Acceleration for the Crawford Number and Related Eigenvalue Optimization Problems. SIAM J. Matrix Anal. Appl. 39(2): 961-982 (2018) - [j57]Zvonimir Bujanovic, Lars Karlsson, Daniel Kressner:
A Householder-Based Algorithm for Hessenberg-Triangular Reduction. SIAM J. Matrix Anal. Appl. 39(3): 1270-1294 (2018) - [j56]David I. Shuman, Pierre Vandergheynst, Daniel Kressner, Pascal Frossard:
Distributed Signal Processing via Chebyshev Polynomial Approximation. IEEE Trans. Signal Inf. Process. over Networks 4(4): 736-751 (2018) - [i3]Ana Susnjara, Daniel Kressner:
A fast spectral divide-and-conquer method for banded matrices. CoRR abs/1801.04175 (2018) - 2017
- [j55]Wolfgang Hackbusch, Daniel Kressner, André Uschmajew:
Perturbation of Higher-Order Singular Values. SIAM J. Appl. Algebra Geom. 1(1): 374-387 (2017) - [j54]Nicola Guglielmi, Mutti-Ur Rehman, Daniel Kressner:
A Novel Iterative Method To Approximate Structured Singular Values. SIAM J. Matrix Anal. Appl. 38(2): 361-386 (2017) - [j53]Erna Begovic Kovac, Daniel Kressner:
Structure-Preserving Low Multilinear Rank Approximation of Antisymmetric Tensors. SIAM J. Matrix Anal. Appl. 38(3): 967-983 (2017) - [j52]Daniel Kressner, Ana Susnjara:
Fast Computation of Spectral Projectors of Banded Matrices. SIAM J. Matrix Anal. Appl. 38(3): 984-1009 (2017) - [j51]Daniel Kressner, Lana Perisa:
Recompression of Hadamard Products of Tensors in Tucker Format. SIAM J. Sci. Comput. 39(5) (2017) - [j50]Dorina Thanou, Xiaowen Dong, Daniel Kressner, Pascal Frossard:
Learning Heat Diffusion Graphs. IEEE Trans. Signal Inf. Process. over Networks 3(3): 484-499 (2017) - [i2]Bernhard Beckermann, Daniel Kressner, Marcel Schweitzer:
Low-rank updates of matrix functions. CoRR abs/1707.03045 (2017) - 2016
- [j49]Froilán M. Dopico, Javier González, Daniel Kressner, Valeria Simoncini:
Projection methods for large-scale T-Sylvester equations. Math. Comput. 85(301): 2427-2455 (2016) - [j48]Zvonimir Bujanovic, Daniel Kressner:
A block algorithm for computing antitriangular factorizations of symmetric matrices. Numer. Algorithms 71(1): 41-57 (2016) - [j47]Lars Karlsson, Daniel Kressner, André Uschmajew:
Parallel algorithms for tensor completion in the CP format. Parallel Comput. 57: 222-234 (2016) - [j46]Petar Sirkovic, Daniel Kressner:
Subspace Acceleration for Large-Scale Parameter-Dependent Hermitian Eigenproblems. SIAM J. Matrix Anal. Appl. 37(2): 695-718 (2016) - [j45]Jonas Ballani, Daniel Kressner:
Reduced Basis Methods: From Low-Rank Matrices to Low-Rank Tensors. SIAM J. Sci. Comput. 38(4) (2016) - [j44]Daniel Kressner, Michael Steinlechner, Bart Vandereycken:
Preconditioned Low-rank Riemannian Optimization for Linear Systems with Tensor Product Structure. SIAM J. Sci. Comput. 38(4) (2016) - [i1]Dorina Thanou, Xiaowen Dong, Daniel Kressner, Pascal Frossard:
Learning heat diffusion graphs. CoRR abs/1611.01456 (2016) - 2015
- [j43]Daniel Kressner, Rajesh Kumar, Fabio Nobile, Christine Tobler:
Low-Rank Tensor Approximation for High-Order Correlation Functions of Gaussian Random Fields. SIAM/ASA J. Uncertain. Quantification 3(1): 393-416 (2015) - [j42]Daniel Kressner, Petar Sirkovic:
Truncated low-rank methods for solving general linear matrix equations. Numer. Linear Algebra Appl. 22(3): 564-583 (2015) - [j41]Nicola Guglielmi, Daniel Kressner, Christian Lubich:
Low rank differential equations for Hamiltonian matrix nearness problems. Numerische Mathematik 129(2): 279-319 (2015) - [j40]Robert A. Granat, Bo Kågström, Daniel Kressner, Meiyue Shao:
Algorithm 953: Parallel Library Software for the Multishift QR Algorithm with Aggressive Early Deflation. ACM Trans. Math. Softw. 41(4): 29:1-29:23 (2015) - [e1]Assyr Abdulle, Simone Deparis, Daniel Kressner, Fabio Nobile, Marco Picasso:
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. Lecture Notes in Computational Science and Engineering 103, Springer 2015, ISBN 978-3-319-10704-2 [contents] - 2014
- [j39]Daniel Kressner, Marija Miloloza Pandur, Meiyue Shao:
An indefinite variant of LOBPCG for definite matrix pencils. Numer. Algorithms 66(4): 681-703 (2014) - [j38]Daniel Kressner, José E. Román:
Memory-efficient Arnoldi algorithms for linearizations of matrix polynomials in Chebyshev basis. Numer. Linear Algebra Appl. 21(4): 569-588 (2014) - [j37]Daniel Kressner, Martin Plesinger, Christine Tobler:
A preconditioned low-rank CG method for parameter-dependent Lyapunov matrix equations. Numer. Linear Algebra Appl. 21(5): 666-684 (2014) - [j36]Luka Grubisic, Daniel Kressner:
On the eigenvalue decay of solutions to operator Lyapunov equations. Syst. Control. Lett. 73: 42-47 (2014) - [j35]Daniel Kressner, Bart Vandereycken:
Subspace Methods for Computing the Pseudospectral Abscissa and the Stability Radius. SIAM J. Matrix Anal. Appl. 35(1): 292-313 (2014) - [j34]Michael Karow, Daniel Kressner:
On a Perturbation Bound for Invariant Subspaces of Matrices. SIAM J. Matrix Anal. Appl. 35(2): 599-618 (2014) - [j33]Michael Karow, Daniel Kressner, Emre Mengi:
Nonlinear Eigenvalue Problems with Specified Eigenvalues. SIAM J. Matrix Anal. Appl. 35(3): 819-834 (2014) - [j32]Nicola Guglielmi, Daniel Kressner, Christian Lubich:
Computing Extremal Points of Symplectic Pseudospectra and Solving Symplectic Matrix Nearness Problems. SIAM J. Matrix Anal. Appl. 35(4): 1407-1428 (2014) - [j31]Björn Adlerborn, Bo Kågström, Daniel Kressner:
A Parallel QZ Algorithm for Distributed Memory HPC Systems. SIAM J. Sci. Comput. 36(5) (2014) - [j30]Daniel Kressner, Michael Steinlechner, André Uschmajew:
Low-Rank Tensor Methods with Subspace Correction for Symmetric Eigenvalue Problems. SIAM J. Sci. Comput. 36(5) (2014) - [j29]Lars Karlsson, Daniel Kressner, Bruno Lang:
Optimally packed chains of bulges in multishift QR algorithms. ACM Trans. Math. Softw. 40(2): 12:1-12:15 (2014) - [j28]Daniel Kressner, Christine Tobler:
Algorithm 941: htucker - A Matlab Toolbox for Tensors in Hierarchical Tucker Format. ACM Trans. Math. Softw. 40(3): 22:1-22:22 (2014) - [c18]Daniel Kressner, Francisco Macedo:
Low-Rank Tensor Methods for Communicating Markov Processes. QEST 2014: 25-40 - 2013
- [j27]Bernhard Beckermann, Daniel Kressner, Christine Tobler:
An Error Analysis of Galerkin Projection Methods for Linear Systems with Tensor Product Structure. SIAM J. Numer. Anal. 51(6): 3307-3326 (2013) - 2012
- [c17]Vasile Sima, Peter Benner, Daniel Kressner:
New SLICOT routines based on structured eigensolvers. CCA 2012: 640-645 - 2011
- [j26]Daniel Kressner, Christine Tobler:
Preconditioned Low-Rank Methods for High-Dimensional Elliptic PDE Eigenvalue Problems. Comput. Methods Appl. Math. 11(3): 363-381 (2011) - [j25]Paolo Bientinesi, Francisco D. Igual, Daniel Kressner, Matthias Petschow, Enrique S. Quintana-Ortí:
Condensed forms for the symmetric eigenvalue problem on multi-threaded architectures. Concurr. Comput. Pract. Exp. 23(7): 694-707 (2011) - [j24]Wolf-Jürgen Beyn, Cedric Effenberger, Daniel Kressner:
Continuation of eigenvalues and invariant pairs for parameterized nonlinear eigenvalue problems. Numerische Mathematik 119(3): 489 (2011) - [j23]Peter Benner, Pablo Ezzatti, Daniel Kressner, Enrique S. Quintana-Ortí, Alfredo Remón:
A mixed-precision algorithm for the solution of Lyapunov equations on hybrid CPU-GPU platforms. Parallel Comput. 37(8): 439-450 (2011) - [j22]Daniel Kressner, Christine Tobler:
Low-Rank Tensor Krylov Subspace Methods for Parametrized Linear Systems. SIAM J. Matrix Anal. Appl. 32(4): 1288-1316 (2011) - [j21]Effrosini Kokiopoulou, Daniel Kressner, Pascal Frossard:
Optimal Image Alignment With Random Projections of Manifolds: Algorithm and Geometric Analysis. IEEE Trans. Image Process. 20(6): 1543-1557 (2011) - [c16]Effrosini Kokiopoulou, Daniel Kressner, Michail Zervos, Nikos Paragios:
Optimal similarity registration of volumetric images. CVPR 2011: 2449-2456 - [c15]Haris Papasaika, Effrosini Kokiopoulou, Emmanuel Baltsavias, Konrad Schindler, Daniel Kressner:
Fusion of Digital Elevation Models Using Sparse Representations. PIA 2011: 171-184 - 2010
- [j20]Peter Benner, Daniel Kressner, Vasile Sima, András Varga:
Die SLICOT-Toolboxen für Matlab (The SLICOT Toolboxes for Matlab). Autom. 58(1): 15-26 (2010) - [j19]Michael Karow, Effrosini Kokiopoulou, Daniel Kressner:
On the computation of structured singular values and pseudospectra. Syst. Control. Lett. 59(2): 122-129 (2010) - [j18]Daniel Kressner, Christine Tobler:
Krylov Subspace Methods for Linear Systems with Tensor Product Structure. SIAM J. Matrix Anal. Appl. 31(4): 1688-1714 (2010) - [j17]Robert Granat, Bo Kågström, Daniel Kressner:
A Novel Parallel QR Algorithm for Hybrid Distributed Memory HPC Systems. SIAM J. Sci. Comput. 32(4): 2345-2378 (2010) - [c14]Effrosini Kokiopoulou, Daniel Kressner, Pascal Frossard:
On the Curvature of Pattern Transformation Manifolds: Numerical Estimation and Applications. AAAI Fall Symposium: Manifold Learning and Its Applications 2010 - [c13]Bo Kågström, Daniel Kressner, Meiyue Shao:
On Aggressive Early Deflation in Parallel Variants of the QR Algorithm. PARA (1) 2010: 1-10 - [c12]Peter Benner, Pablo Ezzatti, Daniel Kressner, Enrique S. Quintana-Ortí, Alfredo Remón:
Accelerating Model Reduction of Large Linear Systems with Graphics Processors. PARA (2) 2010: 88-97
2000 – 2009
- 2009
- [j16]Robert Granat, Bo Kågström, Daniel Kressner:
Parallel eigenvalue reordering in real Schur forms. Concurr. Comput. Pract. Exp. 21(9): 1225-1250 (2009) - [j15]Daniel Kressner, Christian Schröder, David S. Watkins:
Implicit QR algorithms for palindromic and even eigenvalue problems. Numer. Algorithms 51(2): 209-238 (2009) - [j14]Daniel Kressner:
A block Newton method for nonlinear eigenvalue problems. Numerische Mathematik 114(2): 355-372 (2009) - [j13]Michael Karow, Daniel Kressner:
On the structured distance to uncontrollability. Syst. Control. Lett. 58(2): 128-132 (2009) - [j12]Daniel Kressner, María José Peláez, Julio Moro:
Structured Hölder Condition Numbers for Multiple Eigenvalues. SIAM J. Matrix Anal. Appl. 31(1): 175-201 (2009) - [c11]Effrosini Kokiopoulou, Daniel Kressner, Pascal Frossard:
Optimal image alignment with random measurements. EUSIPCO 2009: 1304-1308 - [c10]Paolo Bientinesi, Francisco D. Igual, Daniel Kressner, Enrique S. Quintana-Ortí:
Reduction to Condensed Forms for Symmetric Eigenvalue Problems on Multi-core Architectures. PPAM (1) 2009: 387-395 - 2008
- [j11]Daniel Kressner:
The Effect of Aggressive Early Deflation on the Convergence of the QR Algorithm. SIAM J. Matrix Anal. Appl. 30(2): 805-821 (2008) - [j10]Daniel Kressner:
Block variants of Hammarling's method for solving Lyapunov equations. ACM Trans. Math. Softw. 34(1): 1:1-1:15 (2008) - [c9]Robert Granat, Bo Kågström, Daniel Kressner:
A parallel Schur method for solving continuous-time algebraic Riccati equations. CACSD 2008: 583-588 - [c8]Daniel Kressner:
Memory-efficient Krylov subspace techniques for solving large-scale Lyapunov equations. CACSD 2008: 613-618 - 2007
- [c7]Robert Granat, Bo Kågström, Daniel Kressner:
MATLAB tools for solving periodic eigenvalue problems. PSYCO 2007: 169-174 - 2006
- [j9]Daniel Kressner:
A periodic Krylov-Schur algorithm for large matrix products. Numerische Mathematik 103(3): 461-483 (2006) - [j8]Ralph Byers, Daniel Kressner:
Structured Condition Numbers for Invariant Subspaces. SIAM J. Matrix Anal. Appl. 28(2): 326-347 (2006) - [j7]Michael Karow, Daniel Kressner, Françoise Tisseur:
Structured Eigenvalue Condition Numbers. SIAM J. Matrix Anal. Appl. 28(4): 1052-1068 (2006) - [j6]Bo Kågström, Daniel Kressner:
Multishift Variants of the QZ Algorithm with Aggressive Early Deflation. SIAM J. Matrix Anal. Appl. 29(1): 199-227 (2006) - [j5]Peter Benner, Daniel Kressner:
Algorithm 854: Fortran 77 subroutines for computing the eigenvalues of Hamiltonian matrices II. ACM Trans. Math. Softw. 32(2): 352-373 (2006) - [j4]Daniel Kressner:
Block algorithms for reordering standard and generalized schur forms. ACM Trans. Math. Softw. 32(4): 521-532 (2006) - [c6]Daniel Kressner, Emre Mengi:
Structure-preserving eigenvalue solvers for robust stability and controllability estimates. CDC 2006: 5174-5179 - [c5]Daniel Kressner, Julien Langou:
Recent Advances in Dense Linear Algebra: Minisymposium Abstract. PARA 2006: 116 - [c4]Björn Adlerborn, Bo Kågström, Daniel Kressner:
Parallel Variants of the Multishift QZ Algorithm with Advanced Deflation Techniques. PARA 2006: 117-126 - 2005
- [b1]Daniel Kressner:
Numerical Methods for General and Structured Eigenvalue Problems. Lecture Notes in Computational Science and Engineering 46, Springer 2005, ISBN 978-3-540-24546-9, pp. I-XIV, 1-264 - [j3]Andreas Griewank, Daniel Kressner:
Le retard en convergence des dérivées pour les calculs itératifs avec point fixe. ARIMA J. 3: 5 (2005) - [j2]Daniel Kressner:
Perturbation Bounds for Isotropic Invariant Subspaces of Skew-Hamiltonian Matrices. SIAM J. Matrix Anal. Appl. 26(4): 947-961 (2005) - [c3]Peter Benner, Daniel Kressner:
New Hamiltonian Eigensolvers with Applications in Control. CDC/ECC 2005: 6551-6556 - 2003
- [j1]Peter Benner, Daniel Kressner, Volker Mehrmann:
Structure preservation: a challenge in computational control. Future Gener. Comput. Syst. 19(7): 1243-1252 (2003) - [c2]Daniel Kressner:
Large periodic Lyapunov equations: Algorithms and applications. ECC 2003: 951-956 - 2002
- [c1]Pedher Johansson, Daniel Kressner:
Semi-automatic Generation of Web-Based Computing Environments for Software Libraries. International Conference on Computational Science (1) 2002: 872-880
Coauthor Index
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