Lawrence Mulholland

Principal Technical Consultant - Numerical Algorithms Group

Overview of Experience

Lawrence has over 28 years' experience supporting and writing a range of numerical codes for CPU and other computing platforms. He has worked on projects for NAG clients in finance, and many other science areas. His research and work areas include:

  • Linear Algebra
  • Sparse Eigenproblems
  • FFTs and Wavelets
  • Differential Equations

Specific Technical Experience

Numerical code for processor vendors
Lawrence has managed projects to produce and maintain complete numerical libraries for global CPU vendors.
Design and development of parallel routines
Lawrence works with others at NAG, and our collaborators to devise, design and develop new algorithmic approaches that are most appropriate for current multi core and many core processor architectures.
Development of many ODE, FFT, Linear Algebra and RNG codes
Lawrence has developed numerical routines in many important areas for specific client requirements and for the NAG Library project. He also produces clear technical directions and descriptions of appropriate usage and limitations for a range of numerical solutions.
Problem formulation advice
Lawrence has been an advisor on alternative ways of presenting and solving real world numerical problems for many clients in a wide range of subject areas including astrophysics, finance, retail data, energy and climate science.
Training delivery
Lawrence has developed and presented training courses on writing numerical as well as course and seminars on the use of specific typed of routines and methods. He has delivered these courses for a range of different technical audiences in finance and other fields.

Mathematical Expertise

  • Linear Algebra
  • FFT and wavelets
  • Sparse eigenproblems
  • Nonlinear systems
  • PDEs and ODEs
  • Fitting and Interpolation

Computing Expertise

  • Fortran
  • C
  • OpenMP


  • Ph.D, Pseudospectral methods for PDEs, Strathclyde University
  • Postdoc on Sound Wave propagation through tube bundles, Keele University
  • Postdoc on adaptivity in psuedospectral solution of near-singular evolutionary problems, Strathclyde University
  • BSc, Mathematics (Numerical Analysis), Strathclyde University

Honours & Awards

  • BSc (Hons I), Strathclyde
  • TQ in Mathematics and computing; DipEd (Glasgow)

Papers & Talks

Pseudospectral Solution of Near-Singular Problems using Numerical Coordinate Transformations Based on Adaptivity
L. S. Mulholland, W.-Z. HUANG, D. M. Sloan
Journal: Siam Journal on Scientific Computing , Vol. 19, No. 4, 1998

Solution of Evolutionary Partial Differential Equations Using Adaptive Finite Differences with Pseudospectral Post-processing
L.S. Mulholland, Y.Qui and D.M.Sloan
Journal of Computational Physics, Vol. 131, 1997

Multi-Directional Sound Wave Propagation Through a Tube Bundle
L.S. Mulholland, Maria Heckl
Journal: Journal of Sound and Vibration, Vol. 176, No. 3, 1994

Some Recent Developments in the Theory of Acoustic Transmission in Tube Bundles
Maria A. Heckl, L.S. Mulholland
Journal: Journal of Sound and Vibration, Vol 179, No. 1, 1995

Sound propogation in a steam generator: experimental and theoretical results
D. Firth, Maria A. Heckl, J.A. McKnight, L.S. Mulholland and R. Rowley
Nuclear Energy, Vol. 32, No. 6, 1993

An Implementation of the BLAS on the i860: A RISC Approach to Software for RISC Devices
Bob Wilkinson, Lawrence S. Mulholland
Conference: Conference on Algorithms and Hardware for Parallel Processing - CONPAR , pp. 283–294, 1992

The role of preconditioning in the solution of evolutionary partial differtial equations by implicit Fourier pseudospectral methods
L.S. Mulholland, D.M. Sloan
Journal of Comptational and Applied Mathematics, Vol. 42, 1992

The Effect of Filtering on the Psuedospectral Solution of Evolutionary Partial Differential Equations Special
L.S. Mulholland, D.M. Sloan
Journal: Journal of Computational Physics, Vol. 96, No. 2, 1991