lindonroberts / trust-regionLinks
Python trust-region subproblem solvers for nonlinear optimization
☆29Updated last week
Alternatives and similar repositories for trust-region
Users that are interested in trust-region are comparing it to the libraries listed below
Sorting:
- Powell's Derivative-Free Optimization solvers.☆108Updated 7 months ago
- Differentiable interface to FEniCS for JAX☆58Updated 4 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Python-based Derivative-Free Optimization with Bound Constraints☆91Updated last week
- Methods for numerical differentiation of noisy data in python☆129Updated last week
- Stiff Neural Ordinary Differential Equations☆35Updated 2 years ago
- Python-based Derivative-Free Optimizer for Least-Squares☆42Updated last week
- Convolutional Solvers for Partial Differential Equations☆27Updated 5 years ago
- A short course in pseudospectral collocation methods for wave equations, with implementations in Python.☆62Updated 3 months ago
- Dynamic Mode Decomposition☆61Updated 8 years ago
- a collection of modern sparse (regularized) linear regression algorithms.☆65Updated 5 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 3 years ago
- Data-driven dynamical systems toolbox.☆78Updated 2 months ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆60Updated 3 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
- Python version of Rick Chartrand's algorithm for numerical differentiation of noisy data☆74Updated 5 years ago
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis☆56Updated 2 years ago
- A matlab implementation of forward automatic differentiation with operator overloading and sparse jacobians☆43Updated 9 months ago
- Constructing linearizing transformations for reduced-order modeling of nonlinear dynamical systems☆11Updated last year
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Stochastic Optimization under Uncertainty in Python.☆36Updated 6 months ago
- Port-Hamiltonian Approach to Neural Network Training☆24Updated 6 years ago
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆40Updated last year
- Dasslc is a solver for differential-algebraic equations inspired by DASSL. A python module for dasslc is provided.☆18Updated last year
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆106Updated 2 years ago
- Scaling RLLib for generic simulation environments on Theta☆20Updated 2 years ago
- Python library for parallel multiobjective simulation optimization☆85Updated last week
- Smooth data fitting in N dimensions.☆55Updated 2 years ago
- Optimal numerical differentiation of noisy time series data in python.☆66Updated 2 weeks ago
- Slides/notes and Jupyter notebook demos for an introductory course of numerical methods for PDEs☆22Updated last year