Since its creation more than two decades ago by Daniel Spielman (above) and Shang-hua Teng, smoothed analysis has been used to analyze performance of algorithms other than the simplex method, ...

Motor de optimizacion realizado con python, que utiliza la metodologia BigM para resolver por operaciones de algebra lineal, esta libreria no utiliza numpy, solo las rutinas simples de python. Esta ...

Bellow, you can find a toy demonstration where we make a corpus decomposition of test examples representations. All the relevant code can be found in the file simplex. We get a tensor weights that can ...

Faculty of Economics and Business, Hokkaido University, Sapporo, Japan. In our Proposal 2033 in Mathematics Magazine [2] , instances could be formulated as allocation problems for which the Hungarian ...

The purpose of this paper is to introduce a new pivot rule of the simplex algorithm. The simplex algorithm first presented by George B. Dantzig, is a widely used method for solving a linear ...

Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...

Abstract: The computational power provided by the massive parallelism of modern graphics processing units (GPUs) has moved increasingly into focus over the past few years. In particular, general ...