I've been attempting to teach myself some game theory and in the process, some linear programming.
While muddling through this, I've been attempting to use a variety of simplex methods to attempt to find mixed-strategy Nash equilibria in zero-sum games.
Unfortunately, most of my computations end up with incomplete, or seemingly wrong answers.
Is the simplex method (or two-phase, or dual simplex) appropriate for attempting to find mixed-strategy Nash equilibria, and if so, what is the proper way to set up the starting tableaux?
I've attempting starting with something like this (example is RPS):
\begin{bmatrix}0 & 0 & 0 & -1 & -1 & 0\\1 & 1 & 1 & 0 & 1 & 1\\0.5 & 0 & 1 & 1 & 0 & 0.5\\1 & 0.5 & 0 & 1 & 0 & 0.5\\0 & 1 & 0.5 & 1 & 0 & 0.5\end{bmatrix}
or
\begin{bmatrix}0 & 0 & 0 & -1 & -1 & -1 & -1 & 0\\1 & 1 & 1 & 1 & 0 & 0 & 0 & 1\\0.5 & 0 & 1 & 0 & 1 & 0 &0 & 0.5\\1 & 0.5 & 0 & 0 & 0 & 1 & 0 & 0.5\\0 & 1 & 0.5 & 0 & 0 & 0 & 1 & 0.5\end{bmatrix}
or
\begin{bmatrix}0 & 0 & 0 & 0 & -1 & -1 & -1 & 0\\0 & 0 & 0 & -1 & 0 & 0 & 0 & 0\\1 & 1 & 1 & 1 & 0 & 0 & 0 & 1\\0.5 & 0 & 1 & 0 & 1 & 0 &0 & 0.5\\1 & 0.5 & 0 & 0 & 0 & 1 & 0 & 0.5\\0 & 1 & 0.5 & 0 & 0 & 0 & 1 & 0.5\end{bmatrix}
And this seems simple enough to solve, but anything more complex, or examples with dominated strategies often seem to be unsolveable.