Quantitative Finance, Mathematics, Convex Optimization, Machine Learning, Python.
problems. Convex optimization problems have helpful mathematical properties — namely, that any local minimum must be a global minimum. This avoids suboptimal solutions. The constraints in portfolio optimization, like budget constraints, limits on asset holdings, etc., can often be formulated as