Simplex Method Breakthrough Streamlines Optimization, Unlocking Efficiency Gains Across Industries
The article discusses using an artificial basis in the simplex method to solve linear programming problems more efficiently. By choosing a small auxiliary basis that can be easily inverted, the researchers found that they could improve the representation of the basis and update it effectively. This approach simplifies the process of solving complex problems by focusing on a smaller, more manageable set of variables.