John Maclean

John Maclean

School of Mathematical Sciences

Faculty of Engineering, Computer and Mathematical Sciences


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  • Journals

    Year Citation
    2017 Maclean, J., Santitissadeekorn, N., & Jones, C. K. (2017). A coherent structure approach for parameter estimation in Lagrangian Data Assimilation. Physica D: Nonlinear Phenomena, 360, 36-45.
    DOI WoS1
    2015 Maclean, J., & Gottwald, G. A. (2015). On convergence of higher order schemes for the projective integration
    method for stiff ordinary differential equations. Journal of Computational and Applied Mathematics, 288, 44-69.

    DOI WoS1
    2015 Maclean, J. (2015). A NOTE ON IMPLEMENTATIONS OF THE BOOSTING ALGORITHM AND HETEROGENEOUS MULTISCALE METHODS. SIAM JOURNAL ON NUMERICAL ANALYSIS, 53(5), 2472-2487.
    DOI
    2014 Maclean, J., & Gottwald, G. A. (2014). On convergence of the projective integration method for stiff ordinary
    differential equations. Communications in Mathematical Sciences, 12(2), 235-255.

    DOI WoS2
  • Book Chapters

    Year Citation
    2019 Budhiraja, A., Friedlander, E., Guider, C., Jones, C. K., & Maclean, J. (2019). Assimilating Data into Models. In A. E. Gelfand, M. Fuentes, J. A. Hoeting, & R. L. Smith (Eds.), Handbook of Environmental and Ecological Statistics (1 ed., pp. 687-708). Florida; USA: CRC Press.

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