This code implements two strategies to sample random fields on complex geometries. The first strategy is based on a stochastic PDE, (SPDE folder) while the second on a truncated KL expansion (geoKL folder).
More information can be found in the poster and in the proceeding paper for the conference Functional Imaging and Modelling of the Heart 2019 held in Bordeaux on June 6th to 8th (website).
Poster presented at FIMH2019 in Bordeaux: 1906FIMH_poster.pdf
Preprint is available in this repository: FIMH2019_RFields_r1.pdf
Please cite the following version of the paper:
Pezzuto S., Quaglino A., Potse M. (2019) On Sampling Spatially-Correlated Random Fields for Complex Geometries. In: Coudière Y., Ozenne V., Vigmond E., Zemzemi N. (eds) Functional Imaging and Modeling of the Heart. FIMH 2019. Lecture Notes in Computer Science, vol 11504. Springer, Cham. DOI: 10.1007/978-3-030-21949-9_12