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 after every step of the method.

This paper shows a method for solving linear programming problems that includes Interval Type-2 fuzzy constraints. The proposed method finds an optimal solution in these conditions using convex ...

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 ...

The performance of linear programming decoding is determined by the set of nonzero linear programming pseudocodewords. The minimum pseudoweight of this set of linear programming pseudocodewords is ...

We conclude that the current method is simple, easy, and effective in solving non-linear differential equations, considering that the obtained approximate series solutions are in closed form for the ...

In this paper, we review previous methods for solving interval linear programming (ILP) problems. In most of these methods such as BWC, ILP, TSM, and SOM-2 methods, part of solution space is ...

3 key takeaways Linear programming is an optimization method for achieving the best outcome in a model with linear relationships. The technique involves defining an objective function to maximize ...

The graphical representations of some obtained solutions are demonstrated to better understand their physical features, including bell-shaped solitary wave solutions, singular soliton solutions, and ...

A desktop application that can solve linear programming problems using the simplex method with C# winforms.

It’s a graphical programming language that allows young creators to connect blocks, modules, and functions together with virtual wires, but also allows the editing of different modules with Ruby.