Ilse Ipsen

Q: What Schools Are Affiliated With Ilse Ipsen

Ilse Ipsen is affiliated with the following schools: Yale University, North Carolina State University, Pennsylvania State University, University of North Carolina at Greensboro, University of Bremen

Ilse Ipsen's AcademicInfluence.com Rankings

Ilse Ipsen

Mathematics

#2791

World Rank

#4234

Historical Rank

Measure Theory

#2919

World Rank

#3467

Historical Rank

mathematics Degrees

Download Badge

Mathematics

Ilse Ipsen's Degrees

PhD Mathematics University of Bremen
Masters Mathematics University of Bremen

Why Is Ilse Ipsen Influential?

(Suggest an Edit or Addition)

According to Wikipedia, Ilse Clara Franziska Ipsen is a German-American mathematician who works as a professor of mathematics at North Carolina State University. She was formerly associate director of the Statistical and Applied Mathematical Sciences Institute, a joint venture of North Carolina State and other nearby universities.

(See a Problem?)

Ilse Ipsen's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

A Note on Preconditioning Nonsymmetric Matrices (2001) (165)
Computing an Eigenvector with Inverse Iteration (1997) (165)
THE IDEA BEHIND KRYLOV METHODS (1998) (163)
On Rank-Revealing Factorisations (1994) (131)
Relative perturbation techniques for singular value problems (1995) (125)
GMRES and the minimal polynomial (1996) (107)
How to Embed Trees in Hypercubes. (1985) (105)
PageRank Computation, with Special Attention to Dangling Nodes (2007) (96)
Ergodicity Coefficients Defined by Vector Norms (2011) (91)
Relative perturbation results for matrix eigenvalues and singular values (1998) (91)
Solving the Symmetric Tridiagonal Eigenvalue Problem on the Hypercube (1990) (83)
Perturbation Bounds for Determinants and Characteristic Polynomials (2008) (77)
The Angle Between Complementary Subspaces (1995) (77)
Uniform Stability of Markov Chains (1994) (76)
Three Absolute Perturbation Bounds for Matrix Eigenvalues Imply Relative Bounds (1998) (75)
Convergence Analysis of a PageRank Updating Algorithm by Langville and Meyer (2005) (73)
Refined Perturbation Bounds for Eigenvalues of Hermitian and Non-Hermitian Matrices (2009) (70)
Numerical Matrix Analysis - Linear Systems and Least Squares (2009) (69)
Systolic Networks for Orthogonal Decompositions (1983) (64)
Randomized matrix-free trace and log-determinant estimators (2016) (60)
Improving the Accuracy of Inverse Iteration (1992) (59)
Complexity of dense linear system solution on a multiprocessor ring. Research report (1986) (59)
On the Sensitivity of Solution Components in Linear Systems of Equations (1995) (57)
Accurate Eigenvalues for Fast Trains (2004) (56)
Eigenvector Continuation with Subspace Learning. (2017) (54)
Determinant Approximations (2011) (51)
Expressions and Bounds for the GMRES Residual (2000) (50)
Systolic array synthesis: computability and time cones (1986) (45)
Parallel solution of symmetric positive definite systems with hyperbolic rotations (1986) (44)
Mathematical properties and analysis of Google's PageRank (2008) (44)
Rank-Deficient Nonlinear Least Squares Problems and Subset Selection (2011) (43)
Randomized Approximation of the Gram Matrix: Exact Computation and Probabilistic Bounds (2013) (41)
Scaled givens rotations for the solution of linear least squares problems on systolic arrays (1987) (39)
Condition Estimates for Pseudo-Arclength Continuation (2006) (37)
The Lack of Influence of the Right-Hand Side on the Accuracy of Linear System Solution (1998) (36)
Importance Sampling for a Monte Carlo Matrix Multiplication Algorithm, with Application to Information Retrieval (2011) (34)
Convergence Estimates for Solution of Integral Equations with GMRES (1996) (34)
The Effect of Coherence on Sampling from Matrices with Orthonormal Columns, and Preconditioned Least Squares Problems (2012) (34)
Analysis of a QR Algorithm for Computing Singular Values (1995) (32)
Relative perturbation results for eigenvalues and eigenvectors of diagonalisable matrices (1998) (31)
Ordinal Ranking for Google's PageRank (2008) (29)
Efficient Systolic Arrays for the Solution of Toeplitz Systems: An Illustration of a Methodology for the Construction of Systolic Architectures in VLSI (Very Large Systems Integration). (1985) (27)
Design Methodology For Systolic Arrays (1986) (27)
An overview of relative sin T theorems for invariant subspaces of complex matrices (2000) (25)
Structural Convergence Results for Approximation of Dominant Subspaces from Block Krylov Spaces (2016) (23)
OCCURRENCE OF LYMPHOCYTOSIS IN DAIRY CATTLE HERDS WITH HIGH INCIDENCE OF LYMPHOSARCOMA * (1963) (23)
Computing Characteristic Polynomials from Eigenvalues (2011) (22)
A history of inverse iteration (1994) (20)
Probabilistic linear solvers: a unifying view (2018) (19)
Low-Rank Matrix Approximations Do Not Need a Singular Value Gap (2018) (18)
Perturbation Theory for the Solution of Systems of Linear Equations (1991) (17)
Absolute and relative perturbation bounds for invariant subspaces of matrices (2000) (17)
A note on unifying absolute and relative perturbation bounds (2003) (17)
Probabilistic Error Analysis for Inner Products (2019) (16)
Singular Value Decomposition With Systolic Arrays (1984) (15)
A Probabilistic Subspace Bound with Application to Active Subspaces (2018) (13)
Convergence analysis of an improved pagerank algorithm (2004) (13)
A note on the field of values of non-normal matrices (1998) (13)
A Bayesian Conjugate Gradient Method (with Discussion) (2019) (13)
Zone determinant expansions for nuclear lattice simulations (2003) (12)
Inclusion regions for matrix eigenvalues (2003) (12)
The Impact of Parallel Architectures on The Solution of Eigenvalue Problems (1986) (11)
Conditioning of Leverage Scores and Computation by QR Decomposition (2014) (11)
Backward errors for eigenvalue and singular value decompositions (1994) (11)
From Bareiss' Algorithm to the Stable Computation of Partial Correlations (1989) (11)
Special Issue on Accurate Solution Of Eigenvalue Problems (2006) (9)
Recursive mesh refinement on hypercubes (1989) (9)
A Numerical Analyst Looks at the "Cutoff Phenomenon" in Card Shuffling and Other Markov Chains (2007) (9)
A Parallel QR Method Using Fast Givens' Rotations. (1984) (8)
Singular Value Computations with Systolic Arrays. (1983) (8)
Systolic Algorithms for the Parallel Solution of Dense Symmetric Positive-Definite Toeplitz Systems (1988) (7)
If a matrix has only a single eigenvalue how sensitive Is this eigenvalue? II (1997) (7)
LA BUDDE'S METHOD FOR COMPUTING CHARACTERISTIC POLYNOMIALS (2011) (6)
Structural Convergence Results for Low-Rank Approximations from Block Krylov Spaces (2016) (6)
Probabilistic Iterative Methods for Linear Systems (2020) (6)
Efficient Parallel Solution of Linear Systems with Hyperbolic Rotations. (1984) (6)
Parallel Scaled Givens Rotations for the Solution of Linear Least Squares Problems. (1984) (5)
Helmut Wielandt's contributions to the numerical solution of complex eigenvalue problems (1994) (5)
A projector-based approach to quantifying total and excess uncertainties for sketched linear regression (2018) (5)
Some Remarks on the Generalised Bareiss and Levinson Algorithms (1991) (5)
When rank trumps precision: using the power method to compute google's pagerank (2007) (5)
Sensitivity of Leverage Scores (2014) (5)
Randomized Least Squares Regression: Combining Model- and Algorithm-Induced Uncertainties (2018) (4)
BayesCG As An Uncertainty Aware Version of CG (2020) (4)
ParLance: A Para-Functional Programming Environment for Parallel and Distributed Computing. (1987) (4)
The Eigenproblem and Invariant Subspaces: Perturbation Theory (2010) (4)
Supplementary Material for “ A Bayesian Conjugate-Gradient Method ” (2018) (4)
Numerical computation of the characteristic polynomial of a complex matrix (2010) (4)
Parallel Computation of Algorithms with Uniform Dependences (1989) (3)
kappa_SQ: A Matlab package for randomized sampling of matrices with orthonormal columns (2014) (3)
4. Singular Value Decomposition (2009) (3)
Computing Partial Correlations from the Data Matrix. (1987) (3)
Departure from normality and eigenvalue perturbation bounds (2003) (3)
Efficient Computation of Gaussian Likelihoods for Stationary Markov Random Field Models (2015) (3)
A Probabilistic Numerical Extension of the Conjugate Gradient Method. (2020) (3)
Monte Carlo Methods for Estimating the Diagonal of a Real Symmetric Matrix (2022) (3)
A different approach to bounding the minimal residual norm in Krylov methods (1998) (3)
Research Spotlights (2012) (3)
Communicating Applied Mathematics: Four Examples (2006) (2)
The Cholesky Factorization, Schur Complements, Correlation Coefficients, Angles between Vectors, and the QR Factorization. (1988) (2)
A divide and conquer algorithm for computing singular values (1994) (2)
Multiplicative Perturbation Bounds for Multivariate Multiple Linear Regression in Schatten p-Norms (2020) (2)
5. Least Squares Problems (2009) (1)
Precision-aware Deterministic and Probabilistic Error Bounds for Floating Point Summation (2022) (1)
ACCURACY OF RESPONSE SURFACES OVER ACTIVE SUBSPACES COMPUTED WITH RANDOM SAMPLING∗ (2015) (1)
Preface to the 14th ILAS Conference Proceedings Shanghai 2007 (2009) (1)
Twenty-third Mathematical and Statistical Modeling Workshop for Graduate Students (2017) (1)
SEAGLE: A Scalable Exact Algorithm for Large-Scale Set-Based Gene-Environment Interaction Tests in Biobank Data (2021) (1)
Expository Research Papers (2011) (1)
RANK-DEFICIENT AND ILL-CONDITIONED NONLINEAR LEAST SQUARES PROBLEMS (2010) (1)
A Geometric Analysis of Model- and Algorithm-Induced Uncertainties for Randomized Least Squares Regression (2018) (1)
Stability radius and optimal scaling of discrete-time periodic systems (2001) (1)
SAGA and CONDENSE: a two-phase approach for the implementation of recurrence equations on multiprocessor architectures (1988) (1)
A DIFFERENT APPROACH TO BOUNDING THE MINIMALRESIDUAL NORM IN KRYLOV (1998) (1)
Randomized Matrix Multiplication: Exact Computation and Probabilistic Bounds (2013) (1)
2. Sensitivity, Errors, and Norms (2009) (0)
Seventeenth Mathematical and Statistical Modeling Workshop for graduate students (2011) (0)
Robust Parameter Identifiability Analysis via Column Subset Selection (2022) (0)
Uncertainties in Randomized Dimension Reduction for Least Squares Regression (2020) (0)
TWENTY-FOURTH MATHEMATICAL AND STATISTICAL MODELING WORKSHOP FOR GRADUATE STUDENTS (2019) (0)
Ritz value bounds that exploit quasi-sparsity (2003) (0)
PROBABILISTIC ERROR ANALYSIS FOR SEQUENTIAL SUMMATION OF REAL FLOATING POINT NUMBERS∗ (2021) (0)
A GEOMETRIC ANALYSIS OF 1 MODEL-AND ALGORITHM-INDUCED UNCERTAINTIES 2 FOR RANDOMIZED LEAST SQUARES REGRESSION (2019) (0)
S ep 2 01 9 A GEOMETRIC ANALYSIS OF MODEL-AND ALGORITHM-INDUCED UNCERTAINTIES FOR RANDOMIZED LEAST SQUARES REGRESSION (0)
A Bibliography of Publications of Ilse C. F. Ipsen (2015) (0)
Fast Design of Good Systolic Systems (1989) (0)
Problems and Techniques (2006) (0)
SAGA & CONDENSE: A TWO-PHASE APPROACH FOR THE IMPLEMENTATION OF RECURRENCE EQUATIONS (1988) (0)
Randomized matrix-free trace and log-determinant estimators (2017) (0)
SENSITIVITY OF LEVERAGE SCORES AND COHERENCE FOR RANDOMIZED MATRIX ALGORITHMS (2013) (0)
Probabilistic Numerical Methods – From Theory to Implementation (2022) (0)
PROBABILISTIC ERROR (2020) (0)
Absolute and relative perturbation bounds for invariant subspaces of diagoalisable matrices (1997) (0)
Unofficial Survival Guide for survivors at TU Delft (2013) (0)
Deterministic and Probabilistic Error Bounds for Floating Point Summation Algorithms (2021) (0)
Statistical Properties of the Probabilistic Numeric Linear Solver BayesCG (2022) (0)
LOW-RANK MATRIX APPROXIMATIONS DO NOT NEED A SINGULAR VALUE GAP \ast (2019) (0)
Twenty-second mathematical and statistical modeling workshop for graduate students (2016) (0)
3. Linear Systems (2009) (0)
DEPARTURE FROM NORMALITY AND EIGENVALUE PERTURBATION BOUNDS ( 3 JULY 2003 ) (2003) (0)
EditionBackward errors for eigenvalue and singularvalue decompositions ? (1994) (0)
Probabilistic Numerical Methods - From Theory to Implementation (Dagstuhl Seminar 21432) (2021) (0)
Editorial: special edition on probabilistic numerics (2019) (0)
ROBUST PARAMETER IDENTIFIABILITY ANALYSIS 1 VIA SUBSET SELECTION (2022) (0)
SEAGLE: A Scalable Exact Algorithm for Large-Scale Set-Based GxE Tests in Biobank Data (2021) (0)
Fifteenth mathematical and statistical modeling workshop for graduate students (2010) (0)
A Gray-Code Schmee for Mesh Refinement on Hypercubes (1987) (0)
Small singular values can increase in lower precision (2023) (0)

This paper list is powered by the following services:

Other Resources About Ilse Ipsen

en.wikipedia.org

What Schools Are Affiliated With Ilse Ipsen?

Ilse Ipsen is affiliated with the following schools:

Ilse Ipsen's Academic­Influence.com Rankings