Physical Symbolic Optimization (Φ-SO) - A symbolic optimization package built for physics. Symbolic regression module uses deep reinforcement learning to infer analytical physical laws that fit data points, searching in the space of functional forms.

Features

  • Physical units constraints, reducing the search space with dimensional analysis
  • Class constraints, searching for a single analytical functional form that accurately fits multiple datasets
  • PhySO recovers the equation for a damped harmonic oscillator
  • Documentation available
  • Examples available
  • State-of-the-art performance in the presence of noise

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License

MIT License

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