simplexalgoritmia
Simplexalgoritmia, also known as the simplex method, is an algorithm used for solving linear programming problems. It was developed by George Dantzig in the late 1940s and has since become a fundamental tool in operations research and mathematical optimization. The simplex method operates by iterating through the vertices (extreme points) of the feasible region defined by the constraints of the linear programming problem, moving from one vertex to another in a way that improves the objective function value until an optimal solution is found.
The simplex method can be applied to both maximization and minimization problems. It starts with an initial
One of the key advantages of the simplex method is its efficiency in practice. For many real-world
Variants of the simplex method have been developed to address its worst-case performance issues. These include