International Journal of Statistics and Applied Mathematics
  • Printed Journal
  • Indexed Journal
  • Refereed Journal
  • Peer Reviewed Journal

International Journal of Statistics and Applied Mathematics

2022, Vol. 7, Issue 2, Part A

A study of linear programming technique


Author(s): Preeti Tewari and Bhawna Agrawal

Abstract: This paper focuses on one of the most used techniques of operations research i.e. linear programming. The linear programming is a mathematical method to provide an optimal solution for the problems where objective and the requirements both are linear. The limelight during the Second World War The rapid use of linear programming in various fields started after the Second World War. This study provides insights on the assumptions and properties of the linear programming. It also explains the process of formulating any problem as a linear programming problem if all the assumptions are satisfied. The limitations and mathematical formulation are also problem if all the assumptions are satisfied. The limitations and mathematical formulation are also explained. Some practical applications of linear programming are discussed. This study also provides insight on the latest applications of linear programming problem in various fields like sports, lean manufacturing, financial planning and radiotherapy.

DOI: 10.22271/maths.2022.v7.i2a.796

Pages: 54-56 | Views: 175 | Downloads: 31

Download Full Article: Click Here
How to cite this article:
Preeti Tewari, Bhawna Agrawal. A study of linear programming technique. Int J Stat Appl Math 2022;7(2):54-56. DOI: 10.22271/maths.2022.v7.i2a.796
Call for book chapter
International Journal of Statistics and Applied Mathematics