Learn what constraints are, how to express them algebraically and graphically, and how to use them to formulate linear programming problems with examples and tips.

Linear and nonlinear programming are two types of optimization methods that can help you find the best solution to a problem involving decision variables, constraints, and an objective function.

Abstract We describe a new active-set, cutting-plane Constraint Optimal Selection Technique (COST) for solving general linear programming problems. We describe strategies to bound the initial problem ...

How to solve linear programming and quadratic programming with inequality constraint only? For LP, I tried to use OSQP and pass the objective as (None, -c), the equality constraint as (None, None), ...

Discover a simple solution-assisted methodology in Linear Programming (LP) applications to detect active constraints with the most impact on non binding constraints. Save time and effort in large ...

Assignment 1 - Constraint Programming Task 1 - Develop a constraint satisfaction model that solves the following logical puzzle: James, Daniel, Emily, and Sophie go out for dinner. They all order a ...

A maximally permissive (or optimal) supervisory control of an automated manufacturing system (AMS) modeled by Petri nets (PNs) can be usually implemented by imposing constraints in the form of a set ...

Appl Math Model. 2015;39 (12):3183-3193) introduced a lexicographic criterion for ranking triangular fuzzy numbers (TFNs), and proposed a method to solve fully fuzzy linear programming (FFLP) problems ...

This paper shows a method for solving linear programming problems that includes Interval Type-2 fuzzy constraints. The proposed method finds an optimal solution in these conditions using convex ...