Given a problem in numerical analysis in finance/econometrics, how to decide whther to choose Monte Carlo, Newton Raphson , Finite Difference , Gradient descent?
I had this silly misconception that all these methods pretty much do the same thing by performing a series of substitutions and the only difference is in the rate of convergence. But I guess this is wrong. Hence I am asking how to deicde which method to use when?