This case study involved a sophisticated application of Linear Programming (LP) to solve an optimization problem, where the objective was to maximize a specific value. Using the SIMPLEX algorithm, a ...

Abstract: The aim of this paper is to introduce a formulation of linear programming problems involving intuitionistic fuzzy variables. Here, we will focus on duality and a simplex-based algorithm for ...

Advantages of Network Models over LP Models Many linear programming problems have large embedded network structures. Such problems often result when modeling manufacturing processes, transportation or ...

The project considers a common example of a linear programming problem - a transport problem. My task was to automate the process of solving the problem (the Monge — Kantorovich formulation) by the ...

This paper presents a new heuristic to linearise the convex quadratic programming problem. The usual Karush-Kuhn-Tucker conditions are used but in this case a linear objective function is also ...

An efficient algorithm is provided for solving a class of linear programming problems containing a large set of distance constraints of the form x/sub i/-x/sub j//spl ges/k and a small set of ...

Calculus I,II + Algorithms + Linear Algebra. Topics Covered. Roughly, we will cover the following topics (some of them may be skipped depending on the time available). Linear Programming: Basics, ...

Researchers utilize mixed-integer linear programming and nonlinear programming formulations for neural networks, tree ensembles, and decision trees. (9,35,36) Additionally, several tools such as the ...