Ilse C. F. Ipsen

Orcid: 0000-0001-5645-5854

Affiliations:
  • North Carolina State University, Raleigh, USA


According to our database1, Ilse C. F. Ipsen authored at least 55 papers between 1987 and 2024.

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Bibliography

2024
Stochastic Rounding Implicitly Regularizes Tall-and-Thin Matrices.
CoRR, 2024

2023
Statistical properties of BayesCG under the Krylov prior.
Numerische Mathematik, December, 2023

Precision-aware deterministic and probabilistic error bounds for floating point summation.
Numerische Mathematik, October, 2023

Monte Carlo Methods for Estimating the Diagonal of a Real Symmetric Matrix.
SIAM J. Matrix Anal. Appl., March, 2023

Small singular values can increase in lower precision.
CoRR, 2023

2022
Statistical Properties of the Probabilistic Numeric Linear Solver BayesCG.
CoRR, 2022

Robust Parameter Identifiability Analysis via Column Subset Selection.
CoRR, 2022

2021
Probabilistic Iterative Methods for Linear Systems.
J. Mach. Learn. Res., 2021

Probabilistic Numerical Methods - From Theory to Implementation (Dagstuhl Seminar 21432).
Dagstuhl Reports, 2021

Deterministic and Probabilistic Error Bounds for Floating Point Summation Algorithms.
CoRR, 2021

2020
Probabilistic Error Analysis for Inner Products.
SIAM J. Matrix Anal. Appl., 2020

A Probabilistic Numerical Extension of the Conjugate Gradient Method.
CoRR, 2020

Multiplicative Perturbation Bounds for Multivariate Multiple Linear Regression in Schatten p-Norms.
CoRR, 2020

2019
Low-Rank Matrix Approximations Do Not Need a Singular Value Gap.
SIAM J. Matrix Anal. Appl., 2019

Editorial: special edition on probabilistic numerics.
Stat. Comput., 2019

Probabilistic linear solvers: a unifying view.
Stat. Comput., 2019

2018
A Probabilistic Subspace Bound with Application to Active Subspaces.
SIAM J. Matrix Anal. Appl., 2018

Structural Convergence Results for Approximation of Dominant Subspaces from Block Krylov Spaces.
SIAM J. Matrix Anal. Appl., 2018

Randomized Least Squares Regression: Combining Model- and Algorithm-Induced Uncertainties.
CoRR, 2018

2017
Randomized matrix-free trace and log-determinant estimators.
Numerische Mathematik, 2017

2016
Structural Convergence Results for Low-Rank Approximations from Block Krylov Spaces.
CoRR, 2016

2015
Conditioning of Leverage Scores and Computation by QR Decomposition.
SIAM J. Matrix Anal. Appl., 2015

Randomized Approximation of the Gram Matrix: Exact Computation and Probabilistic Bounds.
SIAM J. Matrix Anal. Appl., 2015

2014
The Effect of Coherence on Sampling from Matrices with Orthonormal Columns, and Preconditioned Least Squares Problems.
SIAM J. Matrix Anal. Appl., 2014

kappa_SQ: A Matlab package for randomized sampling of matrices with orthonormal columns.
CoRR, 2014

2013
Randomized Matrix Multiplication: Exact Computation and Probabilistic Bounds.
CoRR, 2013

2012
Research Spotlights.
SIAM Rev., 2012

2011
Importance Sampling for a Monte Carlo Matrix Multiplication Algorithm, with Application to Information Retrieval.
SIAM J. Sci. Comput., 2011

Rank-Deficient Nonlinear Least Squares Problems and Subset Selection.
SIAM J. Numer. Anal., 2011

Computing Characteristic Polynomials from Eigenvalues.
SIAM J. Matrix Anal. Appl., 2011

Ergodicity Coefficients Defined by Vector Norms.
SIAM J. Matrix Anal. Appl., 2011

2010
Expository Research Papers.
SIAM Rev., 2010

2009
Refined Perturbation Bounds for Eigenvalues of Hermitian and Non-Hermitian Matrices.
SIAM J. Matrix Anal. Appl., 2009

Numerical Matrix Analysis - Linear Systems and Least Squares.
SIAM, ISBN: 978-0-89871-676-4, 2009

2008
Problems and Techniques.
SIAM Rev., 2008

Ordinal Ranking for Google's PageRank.
SIAM J. Matrix Anal. Appl., 2008

Perturbation Bounds for Determinants and Characteristic Polynomials.
SIAM J. Matrix Anal. Appl., 2008

2007
Condition Estimates for Pseudo-Arclength Continuation.
SIAM J. Numer. Anal., 2007

PageRank Computation, with Special Attention to Dangling Nodes.
SIAM J. Matrix Anal. Appl., 2007

2006
Communicating Applied Mathematics: Four Examples.
SIAM Rev., 2006

Convergence Analysis of a PageRank Updating Algorithm by Langville and Meyer.
SIAM J. Matrix Anal. Appl., 2006

Special Issue on Accurate Solution Of Eigenvalue Problems.
SIAM J. Matrix Anal. Appl., 2006

2001
A Note on Preconditioning Nonsymmetric Matrices.
SIAM J. Sci. Comput., 2001

1998
The Lack of Influence of the Right-Hand Side on the Accuracy of Linear System Solution.
SIAM J. Sci. Comput., 1998

Three Absolute Perturbation Bounds for Matrix Eigenvalues Imply Relative Bounds.
SIAM J. Matrix Anal. Appl., 1998

1997
Computing an Eigenvector with Inverse Iteration.
SIAM Rev., 1997

1995
Analysis of a QR Algorithm for Computing Singular Values.
SIAM J. Matrix Anal. Appl., 1995

On the Sensitivity of Solution Components in Linear Systems of Equations.
SIAM J. Matrix Anal. Appl., 1995

1994
Uniform Stability of Markov Chains.
SIAM J. Matrix Anal. Appl., October, 1994

On Rank-Revealing Factorisations.
SIAM J. Matrix Anal. Appl., April, 1994

1992
Improving the Accuracy of Inverse Iteration.
SIAM J. Sci. Comput., 1992

1990
Solving the Symmetric Tridiagonal Eigenvalue Problem on the Hypercube.
SIAM J. Sci. Comput., 1990

1989
Recursive Mesh Refinement on Hypercubes.
BIT, 1989

Parallel Computation of Algorithms with Uniform Dependences.
Proceedings of the Fourth SIAM Conference on Parallel Processing for Scientific Computing, 1989

1987
A Gray-Code Schmee for Mesh Refinement on Hypercubes.
Proceedings of the Third SIAM Conference on Parallel Processing for Scientific Computing, 1987


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