pyTAMS

A physics-agnostic implementation of the Trajectory-Adataptive Multilevel Splitting (TAMS) algorithm for predicting transition probability in bi-stable dynamic problems.

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What pyTAMS can do for you

Provided an implementation of your dynamic problem core functionalities, pyTAMS uses the TAMS algorithm to evaluate the transition probility between two stables point in your system. TAMS is particularly adapted to rare transition probability prediction, where brute force Monte-Carlo method is computationally too expensive.

Keywords
Programming languages
  • Python 99%
  • Shell 1%
License
</>Source code

Participating organisations

Netherlands eScience Center
Utrecht University

Contributors

Lucas Esclapez
Lucas Esclapez

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