The Github repository njhigham-bib contains a BibTeX database of all my papers, books, EPrints, articles, etc. Direct links: njhigham.pdf, njhigham.bib (requires strings.bib).
A complete list of all my publications is available with links and BibTeX entries (via BibBase: may take a few seconds to load).
- Latest Papers
- Correlation matrices
- Eigenvalue problems
- Least squares problems
- Linear systems, condition estimation
- Matrix functions and nonlinear matrix equations
- Miscellaneous
- Articles and book reviews
- Links
Latest Papers
- The mathematics of floating-point arithmetic. LMS Newsletter, 493:35–41, 2021.
- P. Amestoy, A. Buttari, N. J. Higham, J.-Y. L’Excellent, T. Mary, and B. Vieublé. Five-precision GMRES-based iterative refinement. MIMS EPrint 2021.5, Manchester Institute for Mathematical Sciences, The University of Manchester, UK, April 2021. 21 pp.
- Integer Matrix Factorisations, Superalgebras and the Quadratic Form Obstruction (with M. C. Lettington and K. M. Schmidt). Linear Algebra Appl., 622:250–267, 2021.
- Optimizing and Factorizing the Wilson Matrix (with M. C. Lettington), MIMS EPrint 2021.3, Manchester Institute for Mathematical Sciences, The University of Manchester, UK, February 2021. 12 pp. To appear in American Mathematical Monthly.
- Cover Image: Bohemian Matrices (with R. M. Corless, and S. E. Thornton). LMS Newsletter, 491:16, 2020.
- Completing the Matrix (with D. I. Georgescu). The Actuary, pages 24-27, November 2020.
- Performance Impact of Precision Reduction In Sparse Linear Systems Solvers (with M. Zounon, C. Lucas and F. Tisseur), MIMS EPrint 2020.20, Manchester Institute for Mathematical Sciences, The University of Manchester, UK, September 2020, revised June 2021. 17 pp.
- A Multiprecision Derivative-Free Schur-Parlett Algorithm for Computing Matrix Functions (with Xiaobo Liu), MIMS EPrint 2020.19, Manchester Institute for Mathematical Sciences, The University of Manchester, UK, September 2020; revised March 2021 22 pp. To appear in SIAM J. Matrix Anal. Appl. Blog post.
- Matrices with Tunable Infinity-Norm Condition Number and No Need for Pivoting in LU Factorization (with M. Fasi). SIAM J. Matrix Anal. Appl. 42(1):417–435, 2021. Blog post.
- A Survey of Numerical Methods Utilizing Mixed Precision Arithmetic (with A. Abdelfattah et al.). Int. J. High Performance Computing Applications, 109434202110033, 2021.
- Mixed-Precision Iterative Refinement Using Tensor Cores on GPUs to Accelerate Solution of Linear Systems (with A. Haidar, H. Bayraktar, S. Tomov and J. Dongarra), Proc. Roy. Soc. London A, 476 (2243):20200110, 2020.
- Stochastic Rounding and Its Probabilistic Backward Error Analysis (with M. P. Connolly and and T. Mary), SIAM J. Sci. Comput., 43(1):A566–A585, 2021. Blog post.
- Numerical Behavior of NVIDIA Tensor Cores (with M. Fasi), M. Mikaitis, and S. Pranesh), PeerJ Comput. Sci. 7:e330(1–19), 2021. Blog post.
- Generating Extreme-Scale Matrices with Specified Singular Values or Condition Numbers (with M. Fasi), SIAM J. Sci. Comput., 43(1):A663–A684, 2021.
- Random Matrices Generating Large Growth in LU Factorization with Pivoting (with D. J. Higham and S. Pranesh), SIAM J. Matrix Anal. Appl., 42(1):185–201, 2021.
- A Catalogue of Software for Matrix Functions. Version 3.0 (with Edvin Hopkins), MIMS EPrint 2020.7, Manchester Institute for Mathematical Sciences, The University of Manchester, UK, March 2020. 24 pp.
- Three-Precision GMRES-based Iterative Refinement for Least Squares Problems (with E. Carson and S. Pranesh). SIAM J. Sci. Comput., 42(6):A4063-A4083, 2020.
- Sharper Probabilistic Backward Error Analysis for Basic Linear Algebra Kernels With Random Data (with T. Mary). SIAM J. Sci. Comput., 42(5):A3427-A3446, 2020. Blog post.
- Numerical Algorithms for High-Performance Computational Science (with J. Dongarra and L. Grigori). Phil. Trans. R. Soc. A, 378(2166):1-18, 2020.
- Exploiting Lower Precision Arithmetic in Solving Symmetric Positive Definite Linear Systems and Least Squares Problems (with S. Pranesh). SIAM J. Sci. Comput., 43(1):A258–A277, 2021.
- Error Analysis For Standard and GMRES-Based Iterative Refinement in Two and Three-Precisions. MIMS EPrint 2019.19, Manchester Institute for Mathematical Sciences, The University of Manchester, UK, November 2019. 8 pp.
- Mixed Precision Block Fused Multiply-Add: Error Analysis and Application to GPU Tensor Coress (with P. Blanchard, F. Lopez, T. Mary and S. Pranesh). SIAM J. Sci. Comput., 42(3):C124-C141, 2020.
- Accurately Computing the Log-Sum-Exp and Softmax Functions (with P. Blanchard and D. J. Higham). IMA J. Numer. Anal., 1–20, 2020 (Advanced access).
- Solving Block Low-Rank Linear Systems by LU Factorization is Numerically Stable (with T. Mary). IMA J. Numer. Anal., 1–30. 2021 (Advanced access).
Links
- Citations on Google Scholar.
- Researcher ID profile
- List of publications on MathSciNet (requires subscription).
- Citations on MathSciNet (requires subscription).
