A BOUND ON THE SHANNON CAPACITY VIA A LINEAR PROGRAMMING VARIATION.

We prove an upper bound on the Shannon capacity of a graph via a linear programming variation. We show that our bound can outperform both the Lov\'asz theta number and the Haemers minimum rank bound. As a by-product, we also obtain a new upper bound on the broadcast rate of index coding. [ABSTRACT FROM AUTHOR]