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linear programming

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linear programming

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Also known as LP, linear optimization

programming method to achieve the best outcome in a mathematical model

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Linear programming is a mathematical method for finding the best possible solution to a problem where you need to optimize something (like maximizing profit or minimizing cost) while staying within certain constraints or limits. It matters because it helps businesses and organizations make efficient decisions about how to allocate their resources in real-world situations like production planning, scheduling, and resource management.

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Linear programming
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せんけいけいかくほう
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A pictorial representation of a simple linear program with two variables and six inequalities. The set of feasible solutions is depicted in yellow and forms a polygon, a 2-dimensional polytope. The optimum of the linear cost function is where the red line intersects the polygon. The red line is a level set of the cost function, and the arrow indicates the direction in which we are optimizing. A closed feasible region of a problem with three variables is a convex polyhedron. The surfaces giving a fixed value of the objective function are planes (not shown). The linear programming problem is to find a point on the polyhedron that is on the plane with the highest possible value.

Linear programming (LP), also called linear optimization, is a method to achieve the best outcome (such as maximum profit or lowest cost) in a mathematical model whose requirements and objective are represented by linear relationships. Linear programming is a special case of mathematical programming (also known as mathematical optimization).

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