Convex Optimization Techniques in PyTorch

Introduction Convex optimization is the backbone of machine learning, quantum computing, and operations research. It’s the rigorous framework behind many of the most efficient algorithms in both classical and quantum domains. For the intellectually bold—be it the sharpest minds at MIT or anyone eager to push boundaries—PyTorch offers a sophisticated platform for implementing and optimizing … Continue reading Convex Optimization Techniques in PyTorch