Abstract
We introduce a general family of Weighted Flow Algorithms for simulating particle coagulation, generate a method to optimally tune these methods, and prove their consistency and convergence under general assump- tions. These methods are especially effective when the size distribution of the particle population spans many orders of magnitude, or in cases where the concentration of those particles that significantly drive the population evolu- tion is small relative to the background density. We also present a family of simulations demonstrating the efficacy of the method.
Original language | English (US) |
---|---|
Pages (from-to) | 69-94 |
Number of pages | 26 |
Journal | Journal of Computational Dynamics |
Volume | 6 |
Issue number | 1 |
DOIs | |
State | Published - 2019 |
Keywords
- Martingales
- Particle coagulation
- Smolu- chowski equation
- Stochastic simulation
ASJC Scopus subject areas
- Computational Mechanics
- Computational Mathematics