Robustness and sensitivity of computational models (MCB)


Robustness and sensitivity of computational models (MCB)

Theatre 2
Building 155


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T: 0428199955

Computational modelling and simulation is attractive because it connects to so many applications and naturally lends itself to collaborations with other fields. Successful applications in biology, stochastic processes and accompanying connections to numerical linear algebra, are showcased by example. For instance, Markov processes with exponential waiting times are compared to non-Markov processes with non-exponential waiting times and with `memory.’ Open questions and exciting opportunities for future research are highlighted.

References: Shev MacNamara, Bruce Henry, Bill McLean, “Fractional Euler Limits and their Applications,” SIAM Applied Math

Andreas Hellander, Jan Klosa, Per Lotstedt and Shev MacNamara, “Robustness analysis of spatiotemporal models in the presence of extrinsic fluctuations” SIAM Applied Math

Gilbert Strang and Shev MacNamara “Functions of Difference Matrices are Toeplitz plus Hankel,” SIAM Review

Arieh Iserles and Shev MacNamara “Magnus expansions and pseudospectra of Markov processes”


  • Dr Shev   MacNamara
    Dr Shev MacNamara, University of Technology Sydney