Gurobi
Gurobi is a commercial mathematical optimization solver used for solving linear programming (LP), mixed-integer linear programming (MILP), quadratic programming (QP), and mixed-integer quadratic programming (MIQP) problems. It provides high-performance algorithms and an intuitive API that integrates with programming languages like Python, Java, C++, and others, enabling developers to model and solve complex optimization problems efficiently. It is widely adopted in industries such as logistics, finance, manufacturing, and energy for decision-making and resource allocation.
Developers should learn Gurobi when they need to solve large-scale optimization problems that involve constraints, such as scheduling, routing, portfolio optimization, or supply chain management, where exact or near-optimal solutions are critical. It is particularly useful in academic research, data science, and operations research applications due to its speed, reliability, and support for various problem types, making it a preferred choice over open-source alternatives for performance-sensitive projects.