Abstract
The paper is devoted to the construction of a probabilistic particle algorithm. This is related to a nonlinear forward Feynman-Kac-type equation, which represents the solution of a nonconservative semilinear parabolic partial differential equation (PDE). Illustrations of the efficiency of the algorithm are provided by numerical experiments.
| Original language | English |
|---|---|
| Pages (from-to) | 55-70 |
| Number of pages | 16 |
| Journal | Monte Carlo Methods and Applications |
| Volume | 24 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Mar 2018 |
| Externally published | Yes |
Keywords
- Euler schemes
- Nonlinear Feynman-Kac-type functional
- Particle systems
- Semilinear partial differential equations
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