2 code implementations • 12 Dec 2018 • Rohitash Chandra, Danial Azam, Arpit Kapoor, R. Dietmar Müller
In this paper, we apply surrogate-assisted parallel tempering where that surrogate mimics a landscape evolution model by estimating the likelihood function from the model.
2 code implementations • 23 Jun 2018 • Rohitash Chandra, R. Dietmar Müller, Ratneel Deo, Nathaniel Butterworth, Tristan Salles, Sally Cripps
The results show that PT in Bayeslands not only reduces the computation time over a multi-core architecture, but also provides a means to improve the sampling process in a multi-modal landscape.
Geophysics Distributed, Parallel, and Cluster Computing
1 code implementation • 2 May 2018 • Rohitash Chandra, Danial Azam, R. Dietmar Müller, Tristan Salles, Sally Cripps
The inference of unknown parameters is challenging due to the scarcity of data, sensitivity of the parameter setting and complexity of the Badlands model.