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At present there are eight possible search types corresponding to
eigenvector-following and quadratic steepest descent, represented
by the internal variable INR, with allowed values ranging from 0 to 7. The two most common
types are 0, for minimization, and 2, for transition state searching. The steps have
the same form in both cases,[36] except that we go downhill in every direction when
minimizing, and uphill in one direction when looking for a transition state. For these
search types convergence to stationary points with the wrong Hessian index (i.e. not
0 or 1 negative Hessian eigenvalues, respectively) is detected and countermeasures are
taken as specified below.
David Wales
10/20/1999