SIPPI: a Matlab toolbox for sampling the solution to inverse problems with complex prior information. SIPPI allow utilizing any combination of the following methods to describe a complex (or very simple) a priori model: 1D generalized Gaussian; FFT Moving Average (FFTMA); Sequential Gaussian simulation (SGSIM); Direct sequential simulation (DSSIM); Sequential indicator simulation (SISIM); Multiple point based simulation (SNESIM).
Keywords for this software
References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Mejer Hansen, Thomas; Skou Cordua, Knud; Mosegaard, Klaus: A general probabilistic approach for inference of Gaussian model parameters from noisy data of point and volume support (2015)
- Skou Cordua, Knud; Mejer Hansen, Thomas; Mosegaard, Klaus: Improving the pattern reproducibility of multiple-point-based prior models using frequency matching (2015)