Nicholas J. Higham
Orcid: 0000-0001-5956-4976Affiliations:
- University of Manchester, UK
According to our database1,
Nicholas J. Higham
authored at least 133 papers
between 1988 and 2024.
Collaborative distances:
Collaborative distances:
Awards
ACM Fellow
ACM Fellow 2020, "For contributions to numerical linear algebra, numerical stability analysis, and communication of mathematics".
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on zbmath.org
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on acm.org
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on twitter.com
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on orcid.org
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on id.loc.gov
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on github.com
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on d-nb.info
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on isni.org
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on dl.acm.org
On csauthors.net:
Bibliography
2024
SIAM J. Matrix Anal. Appl., March, 2024
2023
SIAM J. Matrix Anal. Appl., September, 2023
Combining Sparse Approximate Factorizations with Mixed-precision Iterative Refinement.
ACM Trans. Math. Softw., March, 2023
SIAM J. Matrix Anal. Appl., March, 2023
Matrix Multiplication in Multiword Arithmetic: Error Analysis and Application to GPU Tensor Cores.
SIAM J. Sci. Comput., February, 2023
2022
Arbitrary Precision Algorithms for Computing the Matrix Cosine and its Fréchet Derivative.
SIAM J. Matrix Anal. Appl., 2022
PeerJ Comput. Sci., 2022
Comput. Sci. Eng., 2022
2021
ACM Trans. Math. Softw., 2021
Exploiting Lower Precision Arithmetic in Solving Symmetric Positive Definite Linear Systems and Least Squares Problems.
SIAM J. Sci. Comput., 2021
Generating Extreme-Scale Matrices With Specified Singular Values or Condition Number.
SIAM J. Sci. Comput., 2021
SIAM J. Sci. Comput., 2021
A Multiprecision Derivative-Free Schur-Parlett Algorithm for Computing Matrix Functions.
SIAM J. Matrix Anal. Appl., 2021
SIAM J. Matrix Anal. Appl., 2021
Matrices with Tunable Infinity-Norm Condition Number and No Need for Pivoting in LU Factorization.
SIAM J. Matrix Anal. Appl., 2021
Int. J. High Perform. Comput. Appl., 2021
2020
Sharper Probabilistic Backward Error Analysis for Basic Linear Algebra Kernels with Random Data.
SIAM J. Sci. Comput., 2020
SIAM J. Sci. Comput., 2020
Mixed Precision Block Fused Multiply-Add: Error Analysis and Application to GPU Tensor Cores.
SIAM J. Sci. Comput., 2020
2019
Squeezing a Matrix into Half Precision, with an Application to Solving Linear Systems.
SIAM J. Sci. Comput., 2019
SIAM J. Sci. Comput., 2019
SIAM J. Matrix Anal. Appl., 2019
Adaptive precision in block-Jacobi preconditioning for iterative sparse linear system solvers.
Concurr. Comput. Pract. Exp., 2019
2018
Accelerating the Solution of Linear Systems by Iterative Refinement in Three Precisions.
SIAM J. Sci. Comput., 2018
SIAM J. Matrix Anal. Appl., 2018
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018
Harnessing GPU tensor cores for fast FP16 arithmetic to speed up mixed-precision iterative refinement solvers.
Proceedings of the International Conference for High Performance Computing, 2018
2017
SIAM J. Sci. Comput., 2017
A New Analysis of Iterative Refinement and Its Application to Accurate Solution of Ill-Conditioned Sparse Linear Systems.
SIAM J. Sci. Comput., 2017
The Design and Performance of Batched BLAS on Modern High-Performance Computing Systems.
Proceedings of the International Conference on Computational Science, 2017
Proceedings of the Euro-Par 2017: Parallel Processing - 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28, 2017
Proceedings of the 24th IEEE Symposium on Computer Arithmetic, 2017
2016
Restoring Definiteness via Shrinking, with an Application to Correlation Matrices with a Fixed Block.
SIAM Rev., 2016
SIAM J. Matrix Anal. Appl., 2016
Matrix Inverse Trigonometric and Inverse Hyperbolic Functions: Theory and Algorithms.
SIAM J. Matrix Anal. Appl., 2016
PeerJ Comput. Sci., 2016
Anderson acceleration of the alternating projections method for computing the nearest correlation matrix.
Numer. Algorithms, 2016
Numer. Algorithms, 2016
J. Complex Networks, 2016
2015
New Algorithms for Computing the Matrix Sine and Cosine Separately or Simultaneously.
SIAM J. Sci. Comput., 2015
2014
SIAM J. Sci. Comput., 2014
Higher Order Fréchet Derivatives of Matrix Functions and the Level-2 Condition Number.
SIAM J. Matrix Anal. Appl., 2014
The Matrix Unwinding Function, with an Application to Computing the Matrix Exponential.
SIAM J. Matrix Anal. Appl., 2014
Performance analysis of asynchronous Jacobi's method implemented in MPI, SHMEM and OpenMP.
Int. J. High Perform. Comput. Appl., 2014
Comput. Stat. Data Anal., 2014
2013
ACM Trans. Math. Softw., 2013
Stable and Efficient Spectral Divide and Conquer Algorithms for the Symmetric Eigenvalue Decomposition and the SVD.
SIAM J. Sci. Comput., 2013
Computing the Fréchet Derivative of the Matrix Logarithm and Estimating the Condition Number.
SIAM J. Sci. Comput., 2013
An Improved Schur-Padé Algorithm for Fractional Powers of a Matrix and Their Fréchet Derivatives.
SIAM J. Matrix Anal. Appl., 2013
2012
SIAM J. Sci. Comput., 2012
SIAM J. Matrix Anal. Appl., 2012
Proceedings of the Applied Parallel and Scientific Computing, 2012
2011
Computing the Action of the Matrix Exponential, with an Application to Exponential Integrators.
SIAM J. Sci. Comput., 2011
SIAM J. Matrix Anal. Appl., 2011
2010
SIAM J. Matrix Anal. Appl., 2010
Numer. Algorithms, 2010
2009
SIAM J. Matrix Anal. Appl., 2009
SIAM J. Matrix Anal. Appl., 2009
SIAM J. Matrix Anal. Appl., 2009
Int. J. High Perform. Comput. Appl., 2009
2008
Computing A<sup>Alpha, </sup> log(A), and Related Matrix Functions by Contour Integrals.
SIAM J. Numer. Anal., 2008
SIAM J. Matrix Anal. Appl., 2008
Computing the Fréchet Derivative of the Matrix Exponential, with an Application to Condition Number Estimation.
SIAM J. Matrix Anal. Appl., 2008
2007
SIAM J. Matrix Anal. Appl., 2007
SIAM J. Matrix Anal. Appl., 2007
Commentary.
Proceedings of the Milestones in Matrix Computation, 2007
2006
SIAM J. Matrix Anal. Appl., 2006
SIAM J. Matrix Anal. Appl., 2006
Proceedings of the Applied Parallel Computing. State of the Art in Scientific Computing, 2006
2005
SIAM J. Matrix Anal. Appl., 2005
SIAM J. Matrix Anal. Appl., 2005
Matlab guide, Second Edition.
SIAM, ISBN: 978-0-89871-578-1, 2005
2004
Computing the Polar Decomposition and the Matrix Sign Decomposition in Matrix Groups.
SIAM J. Matrix Anal. Appl., 2004
2003
SIAM J. Matrix Anal. Appl., 2003
SIAM J. Matrix Anal. Appl., 2003
2002
SIAM, ISBN: 978-0-89871-802-7, 2002
2001
SIAM J. Matrix Anal. Appl., 2001
SIAM J. Matrix Anal. Appl., 2001
SIAM J. Matrix Anal. Appl., 2001
Analysis of the Cholesky Method with Iterative Refinement for Solving the Symmetric Definite Generalized Eigenproblem.
SIAM J. Matrix Anal. Appl., 2001
SIAM J. Matrix Anal. Appl., 2001
Proceedings of the Euro-Par 2001: Parallel Processing, 2001
2000
A Block Algorithm for Matrix 1-Norm Estimation, with an Application to 1-Norm Pseudospectra.
SIAM J. Matrix Anal. Appl., 2000
Matlab guide.
SIAM, ISBN: 978-0-89871-469-2, 2000
1999
Row-Wise Backward Stable Elimination Methods for the Equality Constrained Least Squares Problem.
SIAM J. Matrix Anal. Appl., 1999
1998
SIAM J. Matrix Anal. Appl., October, 1998
SIAM J. Matrix Anal. Appl., 1998
Factorizing complex symmetric matrices with positive definite real and imaginary parts.
Math. Comput., 1998
1997
SIAM J. Matrix Anal. Appl., January, 1997
1996
Testing linear algebra software.
Proceedings of the Quality of Numerical Software, 1996
Accuracy and stability of numerical algorithms.
SIAM, ISBN: 978-0-89871-355-8, 1996
1995
1994
Stability of the Partitioned Inverse Method for Parallel Solution of Sparse Triangular Systems.
SIAM J. Sci. Comput., 1994
1993
SIAM J. Matrix Anal. Appl., April, 1993
SIAM J. Matrix Anal. Appl., January, 1993
Handbook of writing for the mathematical sciences.
SIAM, ISBN: 978-0-89871-314-5, 1993
1992
SIAM J. Matrix Anal. Appl., 1992
Stability of a Method for Multiplying Complex Matrices with Three Real Matrix Multiplications.
SIAM J. Matrix Anal. Appl., 1992
1991
ACM Trans. Math. Softw., 1991
1990
ACM Trans. Math. Softw., 1990
1989
Algorithm 674: Fortran codes for estimating the one-norm of a real or complex matrix, with applications to condition estimation.
ACM Trans. Math. Softw., 1989
1988
FORTRAN codes for estimating the one-norm of a real or complex matrix, with applications to condition estimation.
ACM Trans. Math. Softw., 1988