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MaxEnt is an easy-to-run code for the calculation of maximum entropy distributions and the corresponding statistical samples from a given set of known information.

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americocunhajr/MaxEnt

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MaxEnt: Maximum Entropy Code is an easy-to-run Matlab code for the calculation of the maximum entropy distributions and the corresponding statistical samples from a given set of known information. The implementation is numerically robust and follows an educational style, to make its use very intuitive. Examples with representative benchmark tests are provided.

Documentation

MaxEnt routines are commented to explain their functionality to the final user. Each routine has a short description of its purpose and a list of inputs and/or outputs. Examples with a few, but representative, benchmark tests are provided to illustrate the code functionality.

Author

  • Americo Cunha Jr

Citing MaxEnt

We kindly ask users to cite the following reference in any publications reporting work done with MaxEnt:

  • A. Cunha Jr, MaxEnt - Maximum Entropy Code, GitHub repository, 2020
@misc{CunhaJr2020MaxEnt,
   author       = {A. {Cunha~Jr}},
   title        = { {MaxEnt} - {M}aximum {E}ntropy {C}ode},
   year         = {2020},
   publisher    = {GitHub},
   journal      = {GitHub repository},
   howpublished = {\url{https://americocunhajr.github.io/MaxEnt}},
}

License

MaxEnt is released under the MIT license. See the LICENSE file for details. All new contributions must be made under the MIT license.

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MaxEnt is an easy-to-run code for the calculation of maximum entropy distributions and the corresponding statistical samples from a given set of known information.

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