Des Higham
 Position:

Professor of
Numerical Analysis

School of Mathematics

University of Edinburgh

James Clerk Maxwell Building,
The King's Buildings,
Edinburgh
EH9 3FD
Scotland
U.K.

Telephone: +44 131 650 6018

Email:
d.j.higham [at] ed.ac.uk

Campus maps

Travelling to the University of Edinburgh
Edinburgh lead on the
EPSRC Programme Grant
ICONIC: Inference, Computation and Numerics for Insights into Cities
I'm in the
Applied and Computational Mathematics
research group

CV

List of publications
with pdfs

MATLAB and R files
that accompany various publications
My
Google Scholar profile
Latest preprints:
 Some other duties/memberships:

Fellow of the
Royal Society of Edinburgh

Fellow of the
Society for Industrial and Applied Mathematics


Fellow of the
Alan Turing Institute

Editor in Chief
of
Society for Industrial and Applied Mathematics
(SIAM) Review

On the Editorial Board of
the
IMA Journal of Numerical Analysis

Mathematical Sciences
panel member for
the next
Research Excellence Framework (REF 2021)

Member
of
the
INI Newton Gateway to Mathematics
Programme Committee

Member of the Scientific Program Committee for
10th International Congress on Industrial and Applied Mathematics (ICIAM 2023),
Tokyo

Member of
Engineering and Physical Sciences Research Council
(EPSRC)
peer review college

Research
Interests:

Numerical analysis: the design and evaluation of computational methods.

Main area:
Stochastic Computation, with applications in
sociological/technological networks,
future cities/digital economy and
computational biology.
My work overlaps with themes in
Network Science,
Uncertainty Quantification,
Data Analytics and
Machine Learning.
My Current Team:
Some information if you're
interested in studying for a PhD in the school

Books:

NEW:
An Introduction to the Numerical Simulation of Stochastic Differential Equations,
by
Desmond J. Higham and
Peter E. Kloeden,
SIAM, 2021.

Numerical Methods for Ordinary Differential Equations: Initial Value Problems,
by
David F. Griffiths and
Desmond J. Higham,
Springer, 2010.

Network Science: Complexity in Nature and Technology
edited by
Ernesto Estrada,
Maria Fox,
GianLuca Oppo and
Desmond J. Higham,
Springer, 2010.

An Introduction to Financial Option Valuation:
Mathematics, Stochastics and Computation
by Desmond J. Higham,
Cambridge University Press ,
2004.
Authormaintained website for the book.
Recent independent review of the book.

Matlab Guide,
Updated 3rd Edition now available,
coauthored with the lovely
Nick Higham,
published by SIAM ,
2017.

Learning LaTeX,
Updated 2nd Edition now available,
coauthored with
David F. Griffiths,
published by
SIAM , 2016.
Here's a review of the second edition.
Here's what some people said about the first edition.
Here's a review of the first edition written 17 years after the book was published.

 Courses that I have recently been involved with:

Numercial ODEs and Applications

Scottish Mathematical Sciences Training Centre

Here are the notes from a 4lecture short course on
Topics in the Numerical Simulation of Dynamical Systems.
Here are some
old
tips on writing.
(Here's a
pdf version of them
.)
Connect with Maths:
Additional material
for the
graph theory workshop
for high school pupils that I coorganised with
Heather Yorston
Data:
The
Strathclyde MUFC Twitter Data Set
MATLAB and R files:
Some
MATLAB and R files
that accompany various publications.
CONTEST:
A Controllable Test Matrix Toolbox for MATLAB
I'm in:
Pictures of places named after MATLAB commands
(please send me yours):
Before April 2020, on Saturday mornings I could usually be found
shuffling round a park.
Last modified June 2021
d.j.higham [at] ed.ac.uk