This README introduces the Simplex Method, a popular algorithm for solving linear programming problems in R. Linear programming optimizes an objective function, such as maximizing or minimizing a ...

Introducing the Pivot Adaptive Method (PAM) - a faster variant of Gabasov's Adaptive Method (AM) for minimizing computation time. Explore the resolution of problems through successive tables and ...

We propose a linear programming method that is based on active-set changes and proximal-point iterations. The method solves a sequence of least-distance problems using a warm-started quadratic ...

Linear programming is a mathematical approach designed to optimize processes within certain restrictions. Its primary goal is to either increase or decrease a numerical value to its utmost extent.

Discover a new algorithm for solving Multiobjective Programming (MOP) with linear functions and constraints. Explore practical applications and numerical examples in this groundbreaking paper.

NVIDIA's cuOpt leverages GPU technology to drastically accelerate linear programming, achieving performance up to 5,000 times faster than traditional CPU-based solutions.

This paper focuses on a reliable design of oil products supply chain system, which is conductive to promote the sales of oil products. A multi-scenario MILP (Mixed Integer Linear Programming) model ...