add max number of backtracking iterations, and early stopping

[dswah]

[dswah]

look up the stopping criterion that uses norm of gradient and norm of loss!

[dswah]

sometimes, the algorithm will propose a step direction, and then spend a long time backtracking until the learning rate is machine epsilon. perhaps instead of taking a really small step in a bad direction, we should just stop?