Abstract
We develop a novel numerical method for solving the nonlinear filtering problem of jump diffusion processes. The methodology is based on numerical approximation of backward stochastic differential equation systems driven by jump diffusion processes and we apply adaptive meshfree approximation to improve the efficiency of numerical algorithms. We then use the developed method to solve atom tracking problems in material science applications. Numerical experiments are carried out for both classic nonlinear filtering of jump diffusion processes and the application of nonlinear filtering problems in tracking atoms in material science problems.
Original language | English |
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Pages (from-to) | 589-618 |
Number of pages | 30 |
Journal | Communications in Computational Physics |
Volume | 27 |
Issue number | 2 |
DOIs | |
State | Published - 2020 |
Funding
acknowledges support by the Center for Nanophase Materials Sciences, sponsored by the Division of User Facilities, Basic Energy Sciences, U.S. Department of Energy. This work was supported in part by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, Scientific Discovery through Advanced Computing (SciDAC) program through the FASTMath Institute (under Lawrence Livermore National Laboratory Subcontract B626484). The first author acknowledges support by U.S. National Science Foundation under grant number DMS-1720222 and support by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, SciDAC program through the CompFUSE project. The third author also This work was supported in part by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, Scientific Discovery through Advanced Computing (SciDAC) program through the FASTMath Institute (under Lawrence Livermore National Laboratory Subcontract B626484). The first author acknowledges support by U.S. National Science Foundation under grant number DMS-1720222 and support by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, SciDAC program through the CompFUSE project. The third author also acknowledges support by the Center for Nanophase Materials Sciences, sponsored by the Division of User Facilities, Basic Energy Sciences, U.S. Department of Energy.
Keywords
- Backward SDEs
- Jump diffusion processes
- Material sciences
- Nonlinear filtering problem