Adrian Hill

Dr

  • 4 WEST 1.14

20022019

Research output per year

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Personal profile

Research interests

Numerical time-stepping methods which preserve geometric properties of time-symmetric and Hamiltonian problems over very long times. In particular, the analysis and construction of general linear methods (GLMs), which are a generalization of Runge-Kutta and linear multistep methods.

Recent work with Prof John Butcher (University of Auckland) and Terence Norton (PhD student, Bath) has shown that G-symplectic time-symmetric GLMs can solve non-separable Hamiltonian systems more efficiently than symplectic Runge- Kutta methods. Methods up to order 6 have been constructed. The underlying one-step method of such methods has been shown to be both symmetric and symplectic.

A study of starting and finishing methods has led to a re-evaluation of the way that classical numerical methods, such as Leapfrog and Crank-Nicolson, should be implemented on symplectic and near symplectic systems, such as the equations modelling weather.

Other interests include nonautonomous stability for both continuous and discrete dynamical systems.

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Projects

Research Output

Error estimates for semi-Lagrangian finite difference methods applied to Burgers' equation in one dimension

Cook, S., Budd, C., Hill, A. & Melvin, T., 1 Nov 2019, In : Applied Numerical Mathematics. 145, p. 261-282 22 p.

Research output: Contribution to journalArticle

Symmetric general linear methods

Butcher, J. C., Hill, A. T. & Norton, T. J. T., 1 Dec 2016, In : BIT Numerical Mathematics. 56, 4, p. 1189-1212 24 p.

Research output: Contribution to journalArticle

Open Access
File
  • 5 Citations (Scopus)
    133 Downloads (Pure)

    An iterative starting method to control parasitism for the Leapfrog method

    Hill, A. & Norton, T., 1 Jan 2015, In : Applied Numerical Mathematics. 87, 1, p. 145 156 p., Volume 87.

    Research output: Contribution to journalArticle

    File
  • 1 Citation (Scopus)
    73 Downloads (Pure)

    The control of parasitism in $G$-symplectic methods

    Butcher, J. C., Habib, Y., Hill, A. T. & Norton, T. J. T., 14 Oct 2014, In : SIAM Journal on Numerical Analysis (SINUM). 52, 5, p. 2440-2465 26 p.

    Research output: Contribution to journalArticle

    Open Access
    File
  • 16 Citations (Scopus)
    119 Downloads (Pure)

    Exponential stability of time-varying linear systems

    Hill, A. T. & Ilchmann, A., Jul 2011, In : IMA Journal of Numerical Analysis. 31, 3, p. 865-885 21 p.

    Research output: Contribution to journalArticle

  • 10 Citations (Scopus)

    Thesis

    Structure-preserving General Linear Methods

    Author: Norton, T., 29 Sep 2015

    Supervisor: Hill, A. (Supervisor)

    Student thesis: Doctoral ThesisPhD

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