Direct solver for sparse SPD matrices for nonlinear optimization. Implements supernodal Cholesky decomposition algorithm, and supports GPU (CUDA).

3D bin packing solutions with layers and superitems, for Artificial Intelligence in Industry class at UNIBO

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

Combining Reinforcement Learning with Integer Programming for Robust Scheduling

Benchmark for quadratic programming solvers available in Python

A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming

BLAS-like Library Instantiation Software Framework

Python-based Derivative-Free Optimizer for Least-Squares

Conic solver for optimization problems in quantum information theory