World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
65
Citations
27653
World Ranking
377
National Ranking
25

Engineering and Technology

D-Index
67
Citations
28024
World Ranking
1263
National Ranking
79

Research.com Recognitions

  • 2010 - SIAM Fellow For contributions to sparse matrix computations.

Overview

Iain S. Duff is affiliated with the Rutherford Appleton Laboratory in the United Kingdom. Their research spans several fields, primarily focused on computer science, physics and astronomy, and engineering.

The main areas of study for this researcher include computational theory and mathematics, artificial intelligence, computer networks and communications, statistical and nonlinear physics, and electrical and electronic engineering.

Their work covers topics such as matrix theory and algorithms, tensor decomposition and applications, numerical methods and algorithms, complex network analysis techniques, advanced clustering algorithms research, opinion dynamics and social influence, and error correcting code techniques.

Recent papers authored by Iain S. Duff include:

  • A New Sparse LDLT Solver Using A Posteriori Threshold Pivoting, 2020, SIAM Journal on Scientific Computing
  • Row Replicated Block Cimmino, 2023, SIAM Journal on Scientific Computing

In addition, Iain S. Duff is listed as a coauthor on a paper titled Design and Implementation of a Parallel Markowitz Threshold Algorithm, published in 2020 in the SIAM Journal on Matrix Analysis and Applications.

Frequent coauthors of Iain S. Duff include:

  • Philippe Leleux
  • Daniel Ruiz
  • F. Sukru Torun
  • Jonathan Hogg
  • Florent Lopez

Publications frequently appear in the following venues:

  • SIAM Journal on Scientific Computing
  • SIAM Journal on Matrix Analysis and Applications

Iain S. Duff was recognized as a SIAM Fellow in 2010 for contributions to sparse matrix computations.

Best Publications

  • A Fully Asynchronous Multifrontal Solver Using Distributed Dynamic Scheduling

    Patrick R. Amestoy;Iain S. Duff;Jean-Yves L'Excellent;Jacko Koster

  • A set of level 3 basic linear algebra subprograms

    J. J. Dongarra;Jeremy Du Croz;Sven Hammarling;I. S. Duff

  • Direct methods for sparse matrices

    Iain S Duff;Albert M Erisman;John K Reid

  • The Multifrontal Solution of Indefinite Sparse Symmetric Linear

    I. S. Duff;J. K. Reid

  • Multifrontal parallel distributed symmetric and unsymmetric solvers

    Patrick R. Amestoy;Iain S. Duff;Jean-Yves l'Excellent

  • An Approximate Minimum Degree Ordering Algorithm

    Patrick R. Amestoy;Timothy A. Davis;Iain S. Duff

  • An Updated Set of Basic Linear Algebra Subprograms (BLAS)

    Susan Blackford;James Demmel;Jack Dongarra;Iain Duff

  • Sparse matrix test problems

    I. S. Duff;Roger G. Grimes;John G. Lewis

  • Solving Linear Systems on Vector and: Shared Memory Computers

    Jack J. Dongarra;Iain S. Duff;Danny C. Sorensen;Henk Van Der Vorst

  • An Unsymmetric-Pattern Multifrontal Method for Sparse LU Factorization

    Timothy A. Davis;Iain S. Duff

  • The effect of ordering on preconditioned conjugate gradients

    I. S. Duff;G. A. Meurant

  • A combined unifrontal/multifrontal method for unsymmetric sparse matrices

    Timothy A. Davis;Iain S. Duff

  • MA57---a code for the solution of sparse symmetric definite and indefinite systems

    Iain S. Duff

  • Algorithm 837: AMD, an approximate minimum degree ordering algorithm

    Patrick R. Amestoy;Timothy A. Davis;Iain S. Duff

  • On Algorithms For Permuting Large Entries to the Diagonal of a Sparse Matrix

    I. S. Duff;J. Koster

  • A survey of sparse matrix research

    I.S. Duff

  • The Design and Use of Algorithms for Permuting Large Entries to the Diagonal of Sparse Matrices

    Iain S. Duff;Jacko Koster

  • The Multifrontal Solution of Unsymmetric Sets of Linear Equations

    I. S. Duff;J. K. Reid

  • Algorithm 679: A set of level 3 basic linear algebra subprograms: model implementation and test programs

    J. J. Dongarra;Jermey Du Cruz;Sven Hammarling;I. S. Duff

  • MA28 --- A set of Fortran subroutines for sparse unsymmetric linear equations

    IS Duff

  • Users' guide for the Harwell-Boeing sparse matrix collection (Release 1)

    Iain S Duff;RG Grimes;JG Lewis

Frequent Co-Authors

John Reid
John Reid Rutherford Appleton Laboratory
Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Timothy A. Davis
Timothy A. Davis Texas A&M University
Danny C. Sorensen
Danny C. Sorensen Rice University
Xiaoye S. Li
Xiaoye S. Li Lawrence Berkeley National Laboratory
Zhong-Zhi Bai
Zhong-Zhi Bai Chinese Academy of Sciences
Nicholas I. M. Gould
Nicholas I. M. Gould University of Oxford
Michael A. Heroux
Michael A. Heroux Sandia National Laboratories
James Demmel
James Demmel University of California, Berkeley
Nicholas J. Higham
Nicholas J. Higham University of Manchester

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For Mathematics graduates looking to expand their career opportunities, pursuing related online degrees offers a flexible and practical route. Many professionals consider advancing their education with an mba programs that accept transfer credits, allowing them to leverage prior coursework and shorten their study time.

Data-driven fields are also popular among math enthusiasts. Enrolling in a data analytics masters program can equip individuals with advanced skills in statistical analysis, machine learning, and big data—skills highly sought after by employers.

For those balancing work, family, or other commitments, finding the right program can be challenging. Luckily, there are many easy mba programs to get into that offer accessible entry requirements without compromising educational quality.

Similarly, the growing availability of easiest online mba programs to get into caters to busy professionals seeking convenience combined with career growth. These options enable Mathematics graduates to enhance leadership and business acumen alongside their quantitative expertise.

Best Scientists Citing Iain S. Duff

Trending Scientists

Recently Published Articles