Mathematics plays a crucial role in optimization problems and operations research by providing the tools and techniques necessary to model, analyze, and solve complex problems efficiently. Optimization problems involve finding the best solution from a set of possible options, while operations research focuses on using mathematical methods to make better decisions and improve processes. Mathematical concepts such as linear and nonlinear programming, calculus, algebra, and statistics are commonly used in optimization and operations research to formulate problem constraints, define objectives, and develop algorithms for finding optimal solutions. By leveraging mathematical principles, researchers and practitioners can optimize resource allocation, streamline operations, and enhance decision-making in various fields such as logistics, supply chain management, finance, and engineering.