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Håkon A. Hoel

About Håkon A. Hoel

Håkon A. Hoel

  • Visiting Researcher, Stochastic Numerics Research Group

numerical analysis Mathematical modeling data assimilation

Håkon Hoel was a visiting researcher in the Stochastic Numerics Group at KAUST. He holds an MSc degree in Computational Science from the University of Oslo (2016) and a Ph.D. in Numerical Analysis from KTH Royal Institute of Technology (2012). His main research interests are numerical analysis of stochastic differential equations, nonlinear filtering, and multilevel Monte Carlo (MLMC) methods. His research interests also include different aspects of implementation and error estimation of stochastic models in the following areas: adaptive weak approximation of stochastic differential equations

Projects

Related Projects

2015

  • Multilevel ensemble Kalman filtering

    Thu, Jan 1 - Mon, Jun 1 2015

    Kalman filter

    Filtering is a method for sequentially estimating the state of an evolving dynamical system in settings where only partial and possibly inaccurate measurements of the history of the state are available.

2011

  • Adaptive Multi Level Monte Carlo (MLMC)

    Wed, Jun 1 2011 - Fri, Nov 1 2013

    stochastic differential equations

    Stochastic differential equations (SDEs), both ordinary time-dependent equations and partial differential equations with random coefficients, are common mathematical tools to model natural processes with uncertainty.

Related Sites

  • Stochastic Numerics Research Group (STOCHNUM)
  • Applied Mathematics and Computational Science (AMCS)

Related Content

  • Articles
    7
  • Projects
    2
  • Events
    1

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