John A. Mackenzie
University of Strathclyde
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Publication
Featured researches published by John A. Mackenzie.
PLOS Biology | 2011
Matthew P. Neilson; Douwe M. Veltman; Peter J.M. van Haastert; Steven D. Webb; John A. Mackenzie; Robert H. Insall
A simple feedback model of chemotaxis explains how new pseudopods are made and how eukaryotic cells steer toward chemical gradients.
Applied Numerical Mathematics | 2000
George Beckett; John A. Mackenzie
Abstract We derive e -uniform error estimates for two first-order upwind discretizations of a model inhomogeneous, second-order, singularly perturbed boundary value problem on a non-uniform grid. Here, e is the small parameter multiplying the highest derivative term. The grid is suggested by the equidistribution of a positive monitor function which is a linear combination of a constant floor and a power of the second derivative of the solution. Our analysis shows how the floor should be chosen to ensure e -uniform convergence and indicates the convergence behaviour for such grids. Numerical results are presented which confirm the e -uniform convergence rates.
SIAM Journal on Scientific Computing | 2000
John M. Stockie; John A. Mackenzie; Robert D. Russell
We develop an adaptive method for solving one-dimensional systems of hyperbolic conservation laws that employs a high resolution Godunov-type scheme for the physical equations, in conjunction with a moving mesh PDE governing the motion of the spatial grid points. Many other moving mesh methods developed to solve hyperbolic problems use a fully implicit discretization for the coupled solution-mesh equations, and so suffer from a significant degree of numerical stiffness. We employ a semi-implicit approach that couples the moving mesh equation to an efficient, explicit solver for the physical PDE, with the resulting scheme behaving in practice as a two-step predictor-corrector method. In comparison with computations on a fixed, uniform mesh, our method exhibits more accurate resolution of discontinuities for a similar level of computational work.
Numerische Mathematik | 1999
Paul Houston; John A. Mackenzie; Endre Süli; Gerald Warnecke
Abstract. The global error of numerical approximations for symmetric positive systems in the sense of Friedrichs is decomposed into a locally created part and a propagating component. Residual-based two-sided local a posteriori error bounds are derived for the locally created part of the global error. These suggest taking the
SIAM Journal on Scientific Computing | 2011
Matthew P. Neilson; John A. Mackenzie; Steven D. Webb; Robert H. Insall
L^2
Journal of Computational and Applied Mathematics | 2001
George Beckett; John A. Mackenzie
-norm as well as weaker, dual norms of the computable residual as local error indicators. The dual graph norm of the residual
Archives of Disease in Childhood | 2006
Jez Jones; John A. Mackenzie; G A Croft; S Beaton; David Young; Malcolm Donaldson
{\vec r}_h
SIAM Journal on Scientific Computing | 1998
John A. Mackenzie
is further bounded from above and below in terms of the
Journal of Computational Physics | 2016
G. MacDonald; John A. Mackenzie; M. Nolan; Robert H. Insall
L^2
Applied Numerical Mathematics | 2001
George Beckett; John A. Mackenzie
norm of