The linear programs considered here are of the form:
where
A is of full row rank, and (
LP) is feasible with bounded optimal solutions. The main result is an explicit representation of the general optimal solution of (
LP) in terms of a generalized inverse of
A. This explicit solution of (
LP)—explicit in the sense that
A−1b is an explicit solution of
Ax =
b—has obvious theoretical (and possibly computational) advantages over the well-known iterative methods of linear programming. The results are illustrated by a simple example, and extensions to general linear programs are discussed.