Assume that the feasible set is not empty.
My textbook says if a basic solution satisfy nonnegative condition, then it is a basic feasible solution. I am wondering whether there are some theorems that can assure a LPP has at least one basic feasible solution as long as the feasible set is not empty.
Thanks!
Do LP problems always have basic feasible solutions
linear programming
Best Answer
That is not true.
Consider $\min_{x,y} y$ subject to $x \ge 0$.
It has no BFS at all though it is feasible.
Edit: