A package for the sparse identification of nonlinear dynamical systems from data
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Updated
Apr 17, 2025 - Python
A package for the sparse identification of nonlinear dynamical systems from data
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
Award winning software library for nonlinear dynamics and nonlinear timeseries analysis
pyMOR - Model Order Reduction with Python
Nonlinear Dynamics: A concise introduction interlaced with code
A library for working with Cellular Automata, for Python.
A Python module implementing some standard algorithms used in nonlinear time series analysis
nonlinear control optimization tool
An open source model predictive control package for Julia.
Solve nonlinear heterogeneous agent models
A differentiable block-based time domain hybrid system simulation framework.
Data-driven reduced order modeling for nonlinear dynamical systems
Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.
An Open Nonlinear Structural Analysis Solver for GNU-Octave or Matlab
Estimators for probabilities, entropies, and other complexity measures derived from data in the context of nonlinear dynamics and complex systems
A Julia package for solving nonlinear differential equations using the harmonic balance method.
A toolbox for trajectory optimization of dynamical systems
A basic nonlinear model predictive control implementation using Casadi with Unscented Kalman filter state estimation
MATLAB code for estimating parameters for phase space reconstruction of multivariate data.
core C++ library
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