Tried to understand the Nash distance or sometimes called solver noise by gtoWizard or dEV. Depending on your educational background it goes in the direction of error, residual or disturbance. The only "strange thing" is that they don't square it. Because usually you actually would be interested in the distance and squaring some that isn't complex usually results in a positive result. But as the comparison is done most times against the gto solution one would expect the result is always negative. They are a little bit like physicists. They know in which direction the result goes beforehand.
My idea was instead of a solver I could write a Nash distance calculator if only I knew what it is. While digging deep I discovered other metrics to describe how far off you are from the optimal solution. Did I discover some new and original idea?! Unfortunately not. Couple of years ago a few Chinese students already wrote a paper about it. Eight pages long - that will be a fun read.
If if there doesn't exist a tool yet to take advantage of these ideas I could write one. Makes more sense to try writing something that might not exist yet than just copy. Eventhogh it's so adjacent that I have to copy most of it anyhow.
