lindonroberts / trust-region
Python trust-region subproblem solvers for nonlinear optimization
☆26Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for trust-region
- Differentiable interface to FEniCS for JAX☆50Updated 3 years ago
- ☆27Updated 2 years ago
- Stiff Neural Ordinary Differential Equations☆30Updated last year
- Neural ODEs as Feedback Policies for Nonlinear Optimal Control (IFAC 2023) https://doi.org/10.1016/j.ifacol.2023.10.1248☆15Updated last year
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆52Updated 2 years ago
- Python-based Derivative-Free Optimizer for Least-Squares☆41Updated 3 weeks ago
- ☆25Updated 6 years ago
- Powell's Derivative-Free Optimization solvers.☆98Updated last month
- APPM 5630 at CU Boulder☆43Updated 9 months ago
- ☆30Updated 2 years ago
- Nonparametric Differential Equation Modeling☆51Updated 8 months ago
- Benchmark for learning stiff problems using physics-informed machine learning☆10Updated 2 years ago
- Python-based Derivative-Free Optimization with Bound Constraints☆79Updated 2 months ago
- Data-driven dynamical systems toolbox.☆67Updated 9 months ago
- ☆21Updated 4 years ago
- Solving Optimization Problems with JAX, code and PDF☆15Updated 4 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆24Updated 4 years ago
- Turning SymPy expressions into JAX functions☆42Updated 3 years ago
- A PyTorch library for all things nonlinear control and reinforcement learning.☆44Updated 3 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆28Updated 2 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆70Updated last year
- Software to train neural networks via Koopman operator theory (see Dogra and Redman "Optimizing Neural Networks via Koopman Operator Theo…☆19Updated last year
- ☆41Updated 6 years ago
- Python library for parallel multiobjective simulation optimization☆74Updated 2 months ago
- Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation☆10Updated 3 years ago
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆16Updated 3 years ago
- a collection of modern sparse (regularized) linear regression algorithms.☆61Updated 4 years ago
- Bayesian Dynamic Mode Decomposition (Bayesian DMD)☆18Updated 2 years ago
- Convolutional Solvers for Partial Differential Equations☆28Updated 4 years ago