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 ...

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do so for some critical optimization tasks.

Linear Programming: Basics, Simplex Algorithm, and Duality. Applications of Linear Programming: regression, classification and other engineering applications. Integer Linear Programming: Basics, ...

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 ...

In Section 3, an algorithm is presented for solving the k -linear multiplicative problem. A branch and cut method is presented in section 4 for solving the Integer Linear Multiplicative Bilevel ...

Microsoft's groundbreaking AI learning method, LeMa, trains machines to learn from their mistakes, enhancing problem-solving abilities and potentially revolutionizing sectors like healthcare ...

About This Python application implements the Simplex method for linear programming with a PyQt5-based graphical user interface.