A large scale non-linear optimization library
Python implementation of some numerical (optimization) methods
Trust Region Optimization in Python
Solving the Trust Region Subproblem as an Eigenproblem in Julia
Unconstrained optimization algorithms in python, line search and trust region methods
Subsampled Riemannian trust-region (RTR) algorithms
Solve nonlinear systems of equations and nonlinear least squares in Julia
Proximal Policy Optimization (PPO) clipped surrogate objective evaluator and policy ratio limiter
Proximal Policy Optimization (PPO) clipped surrogate objective evaluator and policy ratio limiter
Optimization course assignments under the supervision of Dr. Maryam Amirmazlaghani
Distributed surrogate-assisted evolutionary methods for multi-objective optimization of high-dimensional dynamical systems
Stochastic Quasi-Newton Methods in a Trust Region Framework (MATLAB implementation)
Trust region optimization in C++
CPU-first high-dimensional Bayesian optimization in Rust/Python for CFD and engineering design.
Nonsmooth Bilevel Parameter Learning of Imaging Variational Models
CIMAT graduate course on optimization. Gradient methods, constraints, CG, BFGS, and real-world applications.
Rust-accelerated spectral fitting with a self-auditing benchmark
assignments and projects of advanced optimization course
Implementation of Trust Region and Gradient Descent methods for Multinomial Regression
Trust Region Plug-and-Play With Provable Convergence for Image Restoration
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