lindonroberts / trust-regionLinks
Python trust-region subproblem solvers for nonlinear optimization
☆30Updated this 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 8 months ago
- Methods for numerical differentiation of noisy data in python☆130Updated 3 weeks ago
- Python-based Derivative-Free Optimizer for Least-Squares☆44Updated last week
- Python-based Derivative-Free Optimization with Bound Constraints☆91Updated 3 weeks ago
- Differentiable interface to FEniCS for JAX☆58Updated 4 years ago
- Optimal numerical differentiation of noisy time series data in python.☆67Updated last month
- Dynamic Mode Decomposition☆61Updated 8 years ago
- Port-Hamiltonian Approach to Neural Network Training☆26Updated 6 years ago
- Stiff Neural Ordinary Differential Equations☆35Updated 2 years ago
- Convolutional Solvers for Partial Differential Equations☆27Updated 5 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 3 years ago
- a collection of modern sparse (regularized) linear regression algorithms.☆65Updated 5 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆28Updated 5 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆60Updated 3 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 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
- A matlab implementation of forward automatic differentiation with operator overloading and sparse jacobians☆43Updated 10 months ago
- APPM 5630 at CU Boulder☆52Updated 5 months ago
- Stochastic Optimization under Uncertainty in Python.☆36Updated 7 months ago
- Python library for parallel multiobjective simulation optimization☆87Updated this week
- A derivative-free solver for general nonlinear optimization.☆51Updated 2 weeks ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆107Updated 2 years ago
- ☆28Updated 3 years ago
- Data-driven dynamical systems toolbox.☆80Updated last week
- Analysis of initial value ODE solvers☆82Updated last year
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- A library of Krylov methods in pure Python☆64Updated 3 years ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆131Updated last week
- Software to train neural networks via Koopman operator theory (see Dogra and Redman "Optimizing Neural Networks via Koopman Operator Theo…☆21Updated 2 years ago
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis☆56Updated 2 years ago