Contribute to dodyks/Integer-Linear-Programming-Model-for-Demand-Prioritization-and-Profit-Maximization development by creating an account on GitHub.

This paper presents an efficient algorithm which solves the mathematical programming linear problem of finding the maximum of a real variable subject to a set of linear and quadratic inequality ...

This paper describes a linear programming (LP) approach for solving the network utility maximization problem. The developed approach is inspired by a convex relaxation technique from non-convex ...

This paper presents an algorithm for the global maximization of a convex function subject to linear inequality constraints. It is computationally finite and is designed to converge rapidly on problems ...

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

To employ linear programming in production-planning problems in the chemical industry it is often necessary to make a linear model of plant which seems highly non-linear. An approach with some ...