Convex Optimization

Convex optimization is a subfield of mathematical optimization that involves minimizing or maximizing a convex function over a convex set, enabling efficient solutions to complex problems in various fields. As startups increasingly rely on data-driven decision-making and machine learning, convex optimization has become a crucial tool for optimizing resource allocation, predicting outcomes, and streamlining operations, making it a valuable skill for tech professionals to master.