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The aim of this paper is to introduce a formulation of linear programming problems involving triangular intuitionistic fuzzy numbers for the objecive coefficient. We propose a new method for solving ...

The PDLP (Primal-Dual Hybrid Gradient enhanced for Linear Programming) solver improves the performance and reliability of PDHG by implementing a restarted version of the algorithm. The standard PDHG ...

Solve linear optimization problems including minimization and maximization with simplex algorithm. Uses the Big M method to solve problems with larger equal constraints in Python ...

How Linear Programming Software Work LP software incorporates frameworks that are dependent on conventional linear programming algorithms such as simplex and support architecture. These, plus ...

This study intended to develop a new and improved approach to solve completely Fully Fuzzy Linear Programming Problems(FFLPP) with Symmetric Trapezoidal Fuzzy Numbers(STFN) and findings results are ...

Explore the application of intuitionistic fuzzy set concept in solving linear programming problems. Compare results with existing techniques and consider associated fuzzy LPP for better understanding.