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Mathematics
UK
2022

D-Index & Metrics

Mathematics

D-Index
81
Citations
33450
World Ranking
134
National Ranking
9

Engineering and Technology

D-Index
79
Citations
32308
World Ranking
558
National Ranking
37

Research.com Recognitions

  • 2022 - Research.com Mathematics in United Kingdom Leader Award
  • 2020 - ACM Fellow For contributions to numerical linear algebra, numerical stability analysis, and communication of mathematics
  • 2016 - Member of Academia Europaea
  • 2009 - SIAM Fellow For contributions to numerical linear algebra and rounding error analysis.
  • 2007 - Fellow of the Royal Society, United Kingdom

Overview

Nicholas J. Higham was affiliated with the University of Manchester in the United Kingdom. Their research primarily focused on computer science with a specialization in numerical linear algebra and related computational methods.

The main fields of study included:

  • Computer Science

Within this broad field, their work concentrated on several subfields:

  • Computational Theory and Mathematics
  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Computational Mechanics
  • Numerical Analysis

Key topics covered in their research were:

  • Matrix Theory and Algorithms
  • Numerical Methods and Algorithms
  • Parallel Computing and Optimization Techniques
  • Polynomial and algebraic computation
  • Low-power high-performance VLSI design
  • Advanced Optimization Algorithms Research
  • Sparse and Compressive Sensing Techniques

Higham was the author and co-author of several publications. Notable recent papers included:

  • "Mixed precision algorithms in numerical linear algebra", 2022, Acta Numerica
  • "A survey of numerical linear algebra methods utilizing mixed-precision arithmetic", 2021, The International Journal of High Performance Computing Applications
  • "Accurately computing the log-sum-exp and softmax functions", 2020, IMA Journal of Numerical Analysis
  • "Mixed Precision Block Fused Multiply-Add: Error Analysis and Application to GPU Tensor Cores", 2020, SIAM Journal on Scientific Computing
  • "Stochastic Rounding and Its Probabilistic Backward Error Analysis", 2021, SIAM Journal on Scientific Computing

Frequent collaborators included:

  • Théo Mary
  • Massimiliano Fasi
  • Jack Dongarra
  • Srikara Pranesh
  • Stanimire Tomov

Higham's work appeared frequently in prominent venues such as:

  • SIAM Journal on Scientific Computing
  • SIAM Journal on Matrix Analysis and Applications
  • arXiv (Cornell University)
  • IMA Journal of Numerical Analysis
  • PeerJ Computer Science

Higham also contributed to book publications under the Society for Industrial and Applied Mathematics:

  • Handbook of Writing for the Mathematical Sciences, Third Edition (2020)
  • How to Be Creative (2022)

During their career, Higham received several distinctions including:

  • ACM Fellow (2020) for contributions to numerical linear algebra, numerical stability analysis, and communication of mathematics
  • Member of Academia Europaea (2016)
  • SIAM Fellow (2009) for contributions to numerical linear algebra and rounding error analysis
  • Fellow of the Royal Society, United Kingdom (2007)

Best Publications

  • Accuracy and stability of numerical algorithms

    Nicholas J. Higham

  • Functions of Matrices: Theory and Computation

    Nicholas J. Higham

  • Computing the nearest correlation matrix—a problem from finance

    Nicholas J. Higham

  • The Scaling and Squaring Method for the Matrix Exponential Revisited

    Nicholas J. Higham

  • COMPUTING A NEAREST SYMMETRIC POSITIVE SEMIDEFINITE MATRIX

    Nicholas J. Higham

  • MATLAB Guide

    Desmond J. Higham;Nicholas J. Higham

  • Computing the polar decomposition with applications

    Nicholas J Higham

  • Computing the Action of the Matrix Exponential, with an Application to Exponential Integrators

    Awad H. Al-Mohy;Nicholas J. Higham

  • Functions of matrices

    Nicholas J. Higham

  • The numerical stability of barycentric Lagrange interpolation

    Nicholas J. Higham

  • A New Scaling and Squaring Algorithm for the Matrix Exponential

    Awad H. Al-Mohy;Nicholas J. Higham

  • The accuracy of floating point summation

    Nicholas J. Higham

  • NLEVP: A Collection of Nonlinear Eigenvalue Problems

    Timo Betcke;Nicholas J. Higham;Volker Mehrmann;Christian Schröder

  • Handbook of Writing for the Mathematical Sciences

    Nicholas J. Higham

  • MATRIX NEARNESS PROBLEMS AND APPLICATIONS

    N J Higham

  • Computing real square roots of a real matrix

    Nicholas J. Higham

  • Analysis of the Cholesky Decomposition of a Semi-definite Matrix

    Nicholas J. Higham

  • Computing $A^lpha, \log(A)$, and Related Matrix Functions by Contour Integrals

    Nicholas Hale;Nicholas J. Higham;Lloyd N. Trefethen

  • FORTRAN codes for estimating the one-norm of a real or complex matrix, with applications to condition estimation

    Nicholas J. Higham

  • Stable iterations for the matrix square root

    Nicholas J. Higham

Frequent Co-Authors

Françoise Tisseur
Françoise Tisseur University of Manchester
Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Mark R. Dennis
Mark R. Dennis University of Birmingham
Desmond J. Higham
Desmond J. Higham University of Edinburgh
James Demmel
James Demmel University of California, Berkeley
Volker Mehrmann
Volker Mehrmann Technical University of Berlin
Iain S. Duff
Iain S. Duff Rutherford Appleton Laboratory
Robert Schreiber
Robert Schreiber Cerebras Systems
David Topping
David Topping University of Manchester
Gordon McFiggans
Gordon McFiggans University of Manchester

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Best Scientists Citing Nicholas J. Higham