springer-math / dynamical-systems-with-applications-using-pythonLinks
Source code for 'Dynamical Systems with Applications Using Python' by Stephen Lynch
☆154Updated 7 years ago
Alternatives and similar repositories for dynamical-systems-with-applications-using-python
Users that are interested in dynamical-systems-with-applications-using-python are comparing it to the libraries listed below
Sorting:
- Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems☆143Updated 2 months ago
- Python notebooks for Numerical Analysis☆152Updated 3 months ago
- IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Sy…☆157Updated 3 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 2 years ago
- Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high perf…☆233Updated 2 years ago
- kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order☆75Updated 9 months ago
- Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…☆76Updated 3 years ago
- Python scripts connected to Strogatz's nonlinear dynamics and chaos theory text.☆95Updated last year
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆153Updated 4 years ago
- a collection of modern sparse (regularized) linear regression algorithms.☆65Updated 5 years ago
- ☆370Updated 3 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆57Updated 3 years ago
- This repository contains lecture notes and codes for the course "Computational Methods for Data Science"☆53Updated 4 years ago
- Supporting material for Princeton ORF522☆14Updated last month
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆59Updated 4 years ago
- Harvard Applied Math 205: Code Examples☆90Updated 3 years ago
- Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations☆156Updated 5 years ago
- 18.S096 - Applications of Scientific Machine Learning☆311Updated 3 years ago
- Course 5SSD0 - Bayesian Machine Learning and Information Processing☆50Updated last month
- ☆41Updated 7 years ago
- Matlab Toolbox for the Numerical Solution of Stochastic Differential Equations☆103Updated 5 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆26Updated 3 years ago
- Differential equation solvers☆14Updated 3 years ago
- A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method☆81Updated 3 weeks ago
- Dynamic Mode Decomposition☆60Updated 8 years ago
- PySensors is a Python package for sparse sensor placement☆100Updated last month
- Software to train neural networks via Koopman operator theory (see Dogra and Redman "Optimizing Neural Networks via Koopman Operator Theo…☆21Updated 2 years ago
- An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks.☆279Updated 5 months ago
- Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization☆579Updated last month
- Matlab files with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems…☆305Updated last year