Abstract: A novel framework has recently been proposed for designing the molecular structure of chemical compounds with a desired chemical property using both artificial neural networks and mixed ...

Abstract: 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 ...

It is the right time to elevate your limited space with these 10 must-have home decor picks for compact apartments, selected from Amazon India to maximize the look of your home without compromising on ...

To maximize profits, your main priority should be limiting vacancies and filling the ones that do occur as quickly as possible. Online listings are extremely important for attracting potential tenants ...

When it comes to sustainability, technology can be a double-edged sword. While there are digital solutions that can help companies streamline operations and minimize their carbon footprints, it’s also ...

Integer linear programming can help find the answer to a variety of real-world problems. Now researchers have found a much faster way to do it. The traveling salesperson problem is one of the oldest ...

This repository contains a simple implementation of a linear programming solver, in particular for the primal and dual simplex method in tableau form and the application of Gomory's cut in case of ...

Optimization Theory is a branch of mathematics devoted to solving optimization problems…where we want to minimize or maximize the function value. These types of problems are found numerously in ...

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 ...