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

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 ...

1 Department of Animal Sciences, University of Florida, Gainesville, FL, United States 2 Department of Animal Science, Iowa State University, Ames, IA, United States Background: To address the ...

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SimplexCPP is a c++ library that helps solves `Linear Programming Equations` i.e Maximization problems, easily also providing you with neat results.

ABSTRACT: The existence of strongly polynomial algorithm for linear programming (LP) has been widely sought after for decades. Recently, a new approach called Gravity Sliding algorithm [1] has emerged ...

Abstract: This study proposes a novel technique for solving linear programming problems in a fully fuzzy environment. A modified version of the well-known dual simplex method is used for solving fuzzy ...