Mixed-Integer Programming (MIP) is an optimization technique that involves problems where some decision variables are restricted to integer values while others can be continuous. It is widely used in various fields such as operations research and economics to solve complex decision-making problems with both discrete and continuous elements.

Mixed-Integer Programming

Optimization technique

Decision variables are the controllable inputs in mathematical models used to find optimal solutions in operations research and optimization problems. They represent the choices available to a decision-maker and are essential in formulating constraints and objectives in linear programming and other optimization techniques.

Decision Variables

Integer values

Continuous values

Operations research is a discipline that applies advanced analytical methods to help make better decisions by optimizing complex systems. It integrates techniques from mathematics, statistics, and computer science to solve problems in various domains such as logistics, manufacturing, and finance.

Operations Research

Economics is the study of how individuals, businesses, and governments make choices on allocating resources to satisfy their wants and needs, and how these choices interact to shape markets and economies. It encompasses both microeconomic and macroeconomic perspectives, analyzing everything from individual consumer behavior to global economic trends.

Concepts

Relevant Degrees

Your Lessons