Work

Linear Programming with Interval Coefficients

Year: 2022

Type: conference-paper

Abstract: Many operational research optimization models, such as linear programming, assume that the data used to build a model is accurate, but in the real world most of these assumptions are only approximately true. In linear programming models, uncertainty is associated with the model coefficients during the formulation stage. A small number of papers discuss these models of linear programming with interval coefficients (LPIC). Using the method presented in paper [1], capable of solving linear programming problems with numerical intervals as intervals, we give in this paper a practical example, to demonstrate the use and the practicality of interval coefficients in linear programming models.

Source: International conference KNOWLEDGE-BASED ORGANIZATION

DOI: 10.2478/kbo-2022-0080

Author: Alina Baboş

Institution: Nicolae Bălcescu Land Forces Academy

Language: English

Topic: Numerical Methods and Algorithms

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4284699267

FWCI: 0.237

Cites: 2

Cited by: 1

Related to: 10