1 DFQM, Federal University of São Carlos, Sorocaba, São Paulo, Brazil. 2 Federal University of Alfenas-MG, Poços de Caldas, Minas Gerais, Brazil.

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

$$ \begin{array}{ll} \underset{x \in \mathbb{R}^n}{\min} \quad & \langle c, x \rangle \\ \text{s.t.} \quad & L \leq A x \leq U, \\ & l \leq x \leq u . \end{array} $$ Before running the scripts, please ...

Simplex officially launched its production-grade web agent platform, setting out to solve one of the most persistent problems in enterprise AI — automating workflows across legacy portals. Founded by ...

Standard computer implementations of Dantzig's simplex method for linear programming are based upon forming the inverse of the basic matrix and updating the inverse ...

The original version of this story appeared in Quanta Magazine. For computer scientists, solving problems is a bit like mountaineering. First they must choose a problem to solve—akin to identifying a ...

Abstract: A new implementation of the Simplex method for solving linear programming problems is developed, and its application for solving MPC problems with linear objective functions is described. A ...