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SparseDDD

Implementation of Sparse Dynamic Distribution Decomposition

This repository is the official implementation of Sparse Dynamic Distribution Decomposition: Efficient Integration of Trajectory and SnapshotTime Series Data.

Requirements

Files run on 2019b version of Matlab, Octave does not have some of the statistical commands used. Requirements:

  • Symbolic Math Toolbox (for dynamical system in /data only)
  • Statistics and Machine Learning toolbox.
  • Optimisation toolbox.

Evaluation

To evaluate the package, run the Package_RunMe_Comparison file.

Contributing

Pull requests are encouraged.

License

MIT License

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Implementation of Sparse Dynamic Distribution Decomposition

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  • MATLAB 51.3%
  • Python 47.8%
  • M 0.9%