Numerical solution of an integral equation from point process theory
We propose and analyze methods for the numerical solution of an integral equation which arises in statistical physics and spatial statistics. Instances of this equation include the Mean Field, Poisson-Boltzmann and Emden equations for the density of a molecular gas, and the Poisson saddlepoint appro...
| Main Authors: | , , , |
|---|---|
| Format: | Journal Article |
| Published: |
Rocky Mountain Mathematics Consortium
2014
|
| Online Access: | http://hdl.handle.net/20.500.11937/17486 |
| Summary: | We propose and analyze methods for the numerical solution of an integral equation which arises in statistical physics and spatial statistics. Instances of this equation include the Mean Field, Poisson-Boltzmann and Emden equations for the density of a molecular gas, and the Poisson saddlepoint approximation for the intensity of a spatial point process. Conditions are established under which the Picard iteration and the under relaxation iteration converge. Numerical validation is included. |
|---|