A software package for linear programming has been developed using the revised simplex and dual simplex algorithms. The design of the program incorporates an experimental change in the dual simplex algorithm. If the entered problem is not primal feasible, a modified dual simplex algorithm is used. The traditional dual simplex method requires an initial dual feasible basis and maintains feasibility throughout its application. The experimental change is to ignore this criteria of dual feasibility. The objective then becomes to obtain primal feasibility. Once this is attained, the revised simplex algorithm is applied to obtain optimality, if this has not been reached through use of the dual. This experimental change redirects the goal of the d...