This method uses DNEB to get an image close to the saddle point, then uses
hybrid eigenvector following method to optimize to that saddle point.
This uses Rayleigh-Ritz minimization to find the lowest eigenvector and moves
using the hybrid eigenvector following method. The Rayleigh-Ritz minimization
uses a first order (forward finite differences) expansion.