Solving linear programming problems in a spreadsheet yields equations for maximizing business profits. As applied to business, linear programming typically involves an objective formula, such as unit ...

This repository demonstrates how to solve Linear Programming (LP) and Non-Linear Programming (NLP) problems using the Sequential Thinking Model Context Protocol (MCP). The approach breaks down complex ...

Linear programming is a method for finding optimal solutions to problems with multiple constraints. Python and SciPy can be used to solve linear programming problems with the scipy.optimize.linprog ...

In this paper, we propose a reference direction approach and an interactive algorithm to solve the general multiple objective integer linear programming problem. At each iteration, only one mixed ...

Department of Mathematics, DeenDayalUpadhyay College, Delhi University, Delhi, India. Department of Mathematics, Delhi University, Delhi, India. The objective of the paper is to deal with a kind of ...

The death of mathematician George Dantzig is a scientific watershed. Dantzig developed "linear programming" and the simplex method, used to solve complex efficiency problems for large organizations.