TY - JOUR T1 - A Fast Simplex Algorithm for Linear Programming AU - Pingqi Pan JO - Journal of Computational Mathematics VL - 6 SP - 837 EP - 847 PY - 2010 DA - 2010/12 SN - 28 DO - http://doi.org/10.4208/jcm.3105-m2897 UR - https://global-sci.org/intro/article_detail/jcm/8553.html KW - Large-scale linear programming, Simplex algorithm, Pivot rule, Nested, Largest-distance, Scaling. AB -
Recently, computational results demonstrated remarkable superiority of a so-called "largest-distance" rule and "nested pricing" rule to other major rules commonly used in practice, such as Dantzig's original rule, the steepest-edge rule and Devex rule. Our computational experiments show that the simplex algorithm using a combination of these rules turned out to be even more efficient.