Parallelizing the Kolmogorov-Fokker-Planck Equation
Luca Gerardo-Giorda, Minh-Binh Tran

TL;DR
This paper introduces the first parallel Schwarz waveform relaxation scheme for the Kolmogorov-Fokker-Planck equation, providing convergence proof, well-posedness analysis, and numerical validation.
Contribution
It presents a novel parallel algorithm for the Kolmogorov-Fokker-Planck equation with a new convergence proof and well-posedness analysis.
Findings
Successful parallel implementation demonstrated
Convergence of the scheme proven theoretically
Numerical tests confirm effectiveness
Abstract
We design the first parallel scheme based on Schwarz waveform relaxation methods for the Kolmogorov-Fokker-Planck equation. We introduce a new convergence proof for the algorithms. We also provide results about the existence and uniqueness of a solution for this equation with several boundary conditions, in order to prove that our algorithms are well-posed. Numerical tests are also provided.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and financial applications · Cosmology and Gravitation Theories · Statistical Mechanics and Entropy
