SIPPI is a Matlab toolbox (compatible with GNU Octave) that allows Sampling the solution of non-linear Inverse Problems with realistic a Priori Information.
In order to make use of SIPPI one has to
Install and setup SIPPI
Define the prior model, in form of the prior data structure
Define the forward model, in form of the forward data structure, and the sippi_forward.m m-file
Define the data and noise model, in form of the prior data structure
Choose a method for sampling the a posteriori probability density (i.e., solution) of the inverse problem.
Details about the implementation and the methods implemented in SIPPI can be found in [HCM12], [CHM12], [HCLM13a], [HCLM13b] and, [HCM14].
This version of the documentation was compiled on Aug 19, 2016 , and refer to SIPPI version 1.5 .
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