A package for the sparse identification of nonlinear dynamical systems from data
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Updated
Nov 7, 2024 - 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
A library for working with Cellular Automata, for Python.
Nonlinear Dynamics: A concise introduction interlaced with code
A Python module implementing some standard algorithms used in nonlinear time series analysis
nonlinear control optimization tool
Solve nonlinear heterogeneous agent models
An open source model predictive control package for Julia.
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
Recurrence Quantification Analysis in Julia
MATLAB code for estimating parameters for phase space reconstruction of multivariate data.
core C++ library
Computational Methods in Chemical Engineering (UMass Lowell, Spring 2024); Prof. Valmor F. de Almeida.
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