About Python program to solve problems using the simplex method, with options for graphical mode and dual method, addressing both maximization and minimization problems.

The SimplexMethod package provides an efficient implementation of the Simplex Algorithm for solving linear programming (LP) problems. It supports both maximization and minimization of objective ...

Block-matching motion estimation (BMME) can be formulated as a 2-D constrained minimization problem. This problem can, therefore, be solved with reduced complexity using optimization techniques. This ...

With this large number of applications the quadratic programming model certainly requires an efficient solution method. We present an approach for and minimizing the complementary pivots in a simplex ...

The researchers showed that the simplex method using Tardos' basic algorithm is strongly polynomial for totally unimodular linear programming problems, if the problems are nondegenerate. These ...

Unlike Dantzig’s Simplex, the Downhill simplex method solves an unconstrained minimization problem in n dimensions by maintaining at each iteration n + 1 points that define a simplex [10]. At each ...

MIT, Cambridge] and the original simplex method with the most-negative-reduced-cost pivoting rule of Dantzig are strongly polynomial-time algorithms for solving the Markov decision problem (MDP) with ...