A method developed by George Dantzig to solve these types of problems uses slack variables and pivot operations within a canonical tableau and is known as the simplex algorithm.
A method developed by George Dantzig to solve these types of problems uses slack variables and pivot operations within a canonical tableau and is known as the simplex algorithm. When these problems involve only two independent variables, they can be visualized by determining which lines with given slopes have exactly one intersection point with a convex polyhedron on the Cartesian plane. That convex polyhedron represents the feasible region, which is expressed using a set of inequalities that come from the constraints. Name these optimization problems in which the constraints and the function being optimized must be first-degree polynomials.
A method developed by George Dantzig to solve these types of problems uses slack variables and pivot operations within a canonical tableau and is known as the simplex algorithm.
{linear programming} [prompt on partial answers; prompt on optimization or finding extreme values or finding maxima or finding minima or minimization or maximization or variations thereon]