Quantitative Finance, Mathematics, Convex Optimization, Machine Learning, Python.
or constraints. Regularization techniques used in convex optimization can address real-world issues like estimation error, trading costs, etc. The convex structure allows the optimization problem to be broken into tractable sub-problems. This facilitates distributed optimization. This