title: A streamlined artificial variable free version of simplex method.
abstract: This paper proposes a streamlined form of simplex method which provides some great benefits over traditional simplex method. For instance, it does not need any kind of artificial variables or artificial constraints; it could start with any feasible or infeasible basis of an LP. This method follows the same pivoting sequence as of simplex phase 1 without showing any explicit description of artificial variables which also makes it space efficient. Later in this paper, a dual version of the new method has also been presented which provides a way to easily implement the phase 1 of traditional dual simplex method. For a problem having an initial basis which is both primal and dual infeasible, our methods provide full freedom to the user, that whether to start with primal artificial free version or dual artificial free version without making any reformulation to the LP structure. Last but not the least, it provides a teaching aid for the teachers who want to teach feasibility achievement as a separate topic before teaching optimality achievement.
authors.affiliation: Department of Mathematical Sciences, University of Karachi, Karachi, Pakistan.
authors.forename: Syed
authors.initials: S
authors.lastname: Inayatullah
authors.affiliation: Department of Mathematical Sciences, Institute of Business Administration, Karachi, Pakistan.
authors.forename: Nasir
authors.initials: N
authors.lastname: Touheed
authors.affiliation: Department of Mathematical Sciences, University of Karachi, Karachi, Pakistan.
authors.forename: Muhammad
authors.initials: M
authors.lastname: Imtiaz
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003627:Data Interpretation, Statistical; D011382:Programming, Linear