Michiel E. Hochstenbach

61 papers Journal 61

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deterministic and randomized Kaczmarz methods for AXB=C with applications to color image restoration. CoRR Wenli Wang, Duo Liu, Gangrong Qu, Michiel E. Hochstenbach
2026	J	`jnl`	On spectral properties and fast initial convergence of the Kaczmarz method. CoRR Per Christian Hansen, Michiel E. Hochstenbach
2025	J	`jnl`	A subspace method for large-scale trace ratio problems. Comput. Stat. Data Anal. Giulia Ferrandi, Michiel E. Hochstenbach, M. Rosário Oliveira
2025	J	`jnl`	Block discrete empirical interpolation methods. J. Comput. Appl. Math. Perfect Y. Gidisu, Michiel E. Hochstenbach
2025	J	`jnl`	Limited memory gradient methods for unconstrained optimization. Numer. Algorithms Giulia Ferrandi, Michiel E. Hochstenbach
2025	J	`jnl`	On the convergence of the gradient descent method with stochastic fixed-point rounding errors under the Polyak-Łojasiewicz inequality. Comput. Optim. Appl. Lu Xia, Stefano Massei, Michiel E. Hochstenbach
2025	J	`jnl`	Solving Singular Generalized Eigenvalue Problems. Part III: Structure Preservation. SIAM J. Matrix Anal. Appl. Michiel E. Hochstenbach, Christian Mehl, Bor Plestenjak
2024	J	`jnl`	A Restricted SVD Type CUR Decomposition for Matrix Triplets. SIAM J. Sci. Comput. Perfect Y. Gidisu, Michiel E. Hochstenbach
2024	J	`jnl`	A homogeneous Rayleigh quotient with applications in gradient methods. J. Comput. Appl. Math. Giulia Ferrandi, Michiel E. Hochstenbach
2024	J	`jnl`	A subspace method for large-scale trace ratio problems. CoRR Giulia Ferrandi, Michiel E. Hochstenbach, M. Rosário Oliveira
2024	J	`jnl`	Numerical methods for eigenvalues of singular polynomial eigenvalue problems. CoRR Michiel E. Hochstenbach, Christian Mehl, Bor Plestenjak
2024	J	`jnl`	Numerical methods for rectangular multiparameter eigenvalue problems, with applications to finding optimal ARMA and LTI models. Numer. Linear Algebra Appl. Michiel E. Hochstenbach, Tomaz Kosir, Bor Plestenjak
2024	J	`jnl`	On Stochastic Roundoff Errors in Gradient Descent with Low-Precision Computation. J. Optim. Theory Appl. Lu Xia, Stefano Massei, Michiel E. Hochstenbach, Barry Koren
2024	J	`jnl`	Solving singular generalized eigenvalue problems. Part III: structure preservation. CoRR Michiel E. Hochstenbach, Christian Mehl, Bor Plestenjak
2023	J	`jnl`	A DEIM-CUR factorization with iterative SVDs. CoRR Perfect Y. Gidisu, Michiel E. Hochstenbach
2023	J	`jnl`	A harmonic framework for stepsize selection in gradient methods. Comput. Optim. Appl. Giulia Ferrandi, Michiel E. Hochstenbach, Natasa Krejic
2023	J	`jnl`	Limited memory gradient methods for unconstrained optimization. CoRR Giulia Ferrandi, Michiel E. Hochstenbach
2023	J	`jnl`	On the Convergence of the Gradient Descent Method with Stochastic Fixed-point Rounding Errors under the Polyak-Lojasiewicz Inequality. CoRR Lu Xia, Michiel E. Hochstenbach, Stefano Massei
2023	J	`jnl`	Solving Singular Generalized Eigenvalue Problems. Part II: Projection and Augmentation. SIAM J. Matrix Anal. Appl. Michiel E. Hochstenbach, Christian Mehl, Bor Plestenjak
2022	J	`jnl`	A Generalized CUR Decomposition for Matrix Pairs. SIAM J. Math. Data Sci. Perfect Y. Gidisu, Michiel E. Hochstenbach
2022	J	`jnl`	A harmonic framework for stepsize selectionin gradient methods. CoRR Giulia Ferrandi, Michiel E. Hochstenbach, Natasa Krejic
2022	J	`jnl`	A homogeneous Rayleigh quotient with applications in gradient methods. CoRR Giulia Ferrandi, Michiel E. Hochstenbach
2022	J	`jnl`	A hybrid DEIM and leverage scores based method for CUR index selection. CoRR Perfect Y. Gidisu, Michiel E. Hochstenbach
2022	J	`jnl`	Block Discrete Empirical Interpolation Methods. CoRR Perfect Y. Gidisu, Michiel E. Hochstenbach
2022	J	`jnl`	On the influence of roundoff errors on the convergence of the gradient descent method with low-precision floating-point computation. CoRR Lu Xia, Stefano Massei, Michiel E. Hochstenbach, Barry Koren
2022	J	`jnl`	On the solution of rectangular multiparameter eigenvalue problems. CoRR Michiel E. Hochstenbach, Tomaz Kosir, Bor Plestenjak
2022	J	`jnl`	On the trace ratio method and Fisher's discriminant analysis for robust multigroup classification. CoRR Giulia Ferrandi, Igor V. Kravchenko, Michiel E. Hochstenbach, M. Rosário Oliveira
2022	J	`jnl`	RSVD-CUR Decomposition for Matrix Triplets. CoRR Perfect Y. Gidisu, Michiel E. Hochstenbach
2022	J	`jnl`	Solving singular generalized eigenvalue problems. Part II: projection and augmentation. CoRR Michiel E. Hochstenbach, Christian Mehl, Bor Plestenjak
2021	J	`jnl`	A Generalized CUR decomposition for matrix pairs. CoRR Perfect Y. Gidisu, Michiel E. Hochstenbach
2021	J	`jnl`	A Simple and Efficient Stochastic Rounding Method for Training Neural Networks in Low Precision. CoRR Lu Xia, Martijn Anthonissen, Michiel E. Hochstenbach, Barry Koren
2021	J	`jnl`	A Twin Error Gauge for Kaczmarz's Iterations. SIAM J. Sci. Comput. Bart S. van Lith, Per Christian Hansen, Michiel E. Hochstenbach
2021	J	`jnl`	BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent. Data Min. Knowl. Discov. Sibylle Hess, Gianvito Pio, Michiel E. Hochstenbach, Michelangelo Ceci
2020	J	`jnl`	Improved stochastic rounding. CoRR Lu Xia, Martijn Anthonissen, Michiel E. Hochstenbach, Barry Koren
2019	J	`jnl`	A twin error gauge for Kaczmarz's iterations. CoRR Bart S. van Lith, Per Christian Hansen, Michiel E. Hochstenbach
2019	J	`jnl`	Fixing Nonconvergence of Algebraic Iterative Reconstruction with an Unmatched Backprojector. SIAM J. Sci. Comput. Yiqiu Dong, Per Christian Hansen, Michiel E. Hochstenbach, Nicolai André Brogaard Riis
2019	J	`jnl`	Solving Singular Generalized Eigenvalue Problems by a Rank-Completing Perturbation. SIAM J. Matrix Anal. Appl. Michiel E. Hochstenbach, Christian Mehl, Bor Plestenjak
2019	J	`jnl`	Subspace methods for three-parameter eigenvalue problems. Numer. Linear Algebra Appl. Michiel E. Hochstenbach, Karl Meerbergen, Emre Mengi, Bor Plestenjak
2017	J	`jnl`	Krylov-Schur-Type Restarts for the Two-Sided Arnoldi Method. SIAM J. Matrix Anal. Appl. Ian N. Zwaan, Michiel E. Hochstenbach
2017	J	`jnl`	Multidirectional Subspace Expansion for One-Parameter and Multiparameter Tikhonov Regularization. J. Sci. Comput. Ian N. Zwaan, Michiel E. Hochstenbach
2017	J	`jnl`	Uniform Determinantal Representations. SIAM J. Appl. Algebra Geom. Ada Boralevi, Jasper van Doornmalen, Jan Draisma, Michiel E. Hochstenbach, Bor Plestenjak
2016	J	`jnl`	Krylov Approximation of Linear ODEs with Polynomial Parameterization. SIAM J. Matrix Anal. Appl. Antti Koskela, Elias Jarlebring, Michiel E. Hochstenbach
2016	J	`jnl`	Roots of Bivariate Polynomial Systems via Determinantal Representations. SIAM J. Sci. Comput. Bor Plestenjak, Michiel E. Hochstenbach
2015	J	`jnl`	A Golub-Kahan-Type Reduction Method for Matrix Pairs. J. Sci. Comput. Michiel E. Hochstenbach, Lothar Reichel, Xuebo Yu
2015	J	`jnl`	Jacobi-Davidson methods for polynomial two-parameter eigenvalue problems. J. Comput. Appl. Math. Michiel E. Hochstenbach, Andrej Muhic, Bor Plestenjak
2015	J	`jnl`	Probabilistic Bounds for the Matrix Condition Number with Extended Lanczos Bidiagonalization. SIAM J. Sci. Comput. Sarah W. Gaaf, Michiel E. Hochstenbach
2015	J	`jnl`	Regularization parameter determination for discrete ill-posed problems. J. Comput. Appl. Math. Michiel E. Hochstenbach, Lothar Reichel, Giuseppe Rodriguez
2015	J	`jnl`	Spectral collocation for multiparameter eigenvalue problems arising from separable boundary value problems. J. Comput. Phys. Bor Plestenjak, Calin-Ioan Gheorghiu, Michiel E. Hochstenbach
2013	J	`jnl`	Polynomial optimization and a Jacobi-Davidson type method for commuting matrices. Appl. Math. Comput. Ivo W. M. Bleylevens, Michiel E. Hochstenbach, Ralf L. M. Peeters
2013	J	`jnl`	Probabilistic Upper Bounds for the Matrix Two-Norm. J. Sci. Comput. Michiel E. Hochstenbach
2012	J	`jnl`	Combining approximate solutions for linear discrete ill-posed problems. J. Comput. Appl. Math. Michiel E. Hochstenbach, Lothar Reichel
2012	J	`jnl`	Spectral collocation solutions to multiparameter Mathieu's system. Appl. Math. Comput. Calin-Ioan Gheorghiu, Michiel E. Hochstenbach, Bor Plestenjak, Joost Rommes
2010	J	`jnl`	Subspace-restricted singular value decompositions for linear discrete ill-posed problems. J. Comput. Appl. Math. Michiel E. Hochstenbach, Lothar Reichel
2009	J	`jnl`	Controlling Inner Iterations in the Jacobi-Davidson Method. SIAM J. Matrix Anal. Appl. Michiel E. Hochstenbach, Yvan Notay
2008	J	`jnl`	Harmonic and refined Rayleigh-Ritz for the polynomial eigenvalue problem. Numer. Linear Algebra Appl. Michiel E. Hochstenbach, Gerard L. G. Sleijpen
2004	J	`jnl`	A Jacobi-Davidson Method for Solving Complex Symmetric Eigenvalue Problems. SIAM J. Sci. Comput. Peter Arbenz, Michiel E. Hochstenbach
2004	J	`jnl`	A Jacobi-Davidson Type Method for the Two-Parameter Eigenvalue Problem. SIAM J. Matrix Anal. Appl. Michiel E. Hochstenbach, Tomaz Kosir, Bor Plestenjak
2003	J	`jnl`	Alternatives to the Rayleigh Quotient for the Quadratic Eigenvalue Problem. SIAM J. Sci. Comput. Michiel E. Hochstenbach, Henk A. van der Vorst
2002	J	`jnl`	A Jacobi-Davidson Type Method for a Right Definite Two-Parameter Eigenvalue Problem. SIAM J. Matrix Anal. Appl. Michiel E. Hochstenbach, Bor Plestenjak
2001	J	`jnl`	A Jacobi-Davidson Type SVD Method. SIAM J. Sci. Comput. Michiel E. Hochstenbach
2001	J	`jnl`	Computing Probabilistic Bounds for Extreme Eigenvalues of Symmetric Matrices with the Lanczos Method. SIAM J. Matrix Anal. Appl. Jos L. M. van Dorsselaer, Michiel E. Hochstenbach, Henk A. van der Vorst