swMATH ID: 32597
Software Authors: Tony Saad; Giovanna Ruai
Description: PyMaxEnt: A Python software for maximum entropy moment reconstruction. PyMaxEnt is a software that implements the principle of maximum entropy to reconstruct functional distributions given a finite number of known moments. The software supports both continuous and discrete reconstructions, and is very easy to use through a single function call. In this article, we set out to verify and validate the software against several tests ranging from the reconstruction of discrete probability distributions for biased dice all the way to multimodal Gaussian and beta distributions. Written in Python, PyMaxEnt provides a robust and easy-to-use implementation for the community.
Homepage: https://www.sciencedirect.com/science/article/pii/S2352711019302456
Source Code:  https://github.com/saadgroup/PyMaxEnt
Keywords: Maximum entropy reconstruction; Inverse moment problem; Particle size distribution; Python; SoftwareX; maximum entropy principle
Related Software: NumPy; SciPy; Python
Cited in: 0 Documents

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