• Corpus ID: 15175048

On solving Ordinary Differential Equations using Gaussian Processes

@article{Barber2014OnSO,
  title={On solving Ordinary Differential Equations using Gaussian Processes},
  author={David Barber},
  journal={ArXiv},
  year={2014},
  volume={abs/1408.3807}
}
  • D. Barber
  • Published 17 August 2014
  • Computer Science
  • ArXiv
We describe a set of Gaussian Process based approaches that can be used to solve non-linear Ordinary Differential Equations. We suggest an explicit probabilistic solver and two implicit methods, one analogous to Picard iteration and the other to gradient matching. All methods have greater accuracy than previously suggested Gaussian Process approaches. We also suggest a general approach that can yield error estimates from any standard ODE solver. 

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