Self

Andrew D. Davis, PhD

Computational science and engineering

  • Davis, A.D. and Giannakis, D. (In Press). Graph-theoretic algorithms for Kolmogorov operators: Approximating solutions and their gradients in elliptic and parabolic problems on manifolds. Calcolo.
  • Davis, A.D., Marzouk, Y.M., Smith, A., and Pillai, N.S. (In Press). Rate-optimal refinement strategies for local approximation MCMC. Statistics and Computing.
  • Parno, M.D., Davis, A.D., and Seelinger, L. (2021). MUQ: The MIT Uncertainty Quantification library. Journal of Open Source Software, 6(68), 3076.
  • Springer, S., Haario, H., Susiluoto, J., Bibov, A., Davis, A.D., and Marzouk, Y.M. (2021). Efficient Bayesian inference for large chaotic dynamical systems. Geoscientific Model Development, 14(7), 4319-4333.
  • Davis, A.D., West, B.A., Frisch, N.J, O’Connor D.T., and Parno, M.D. (2021). ParticLS: Object-oriented software for discrete element methods and peridynamics. Computational Particle Mechanics, 1-13.
  • Conrad, P.R., Davis, A.D., Marzouk, Y. M., Pillai, N. S., and Smith, A. (2018). Parallel local approximation MCMC for expensive models. SIAM/ASA Journal on Uncertainty Quantification, 6(1), 339-373.
  • Schoof, C., Davis, A.D., and Popa, T. V. (2017). Boundary layer models for calving marine outlet glaciers. The Cryosphere, 11(5), 2283-2303.
  • Farthing, M.W., Fowler, K.R., Fu, X., Davis, A.D., and Miller, C.T., (2012). Effects of model resolution on optimal design of subsurface flow and transport problems. Advances in Water Resources, 38, 27-37.