  This review covers applications of quantum Monte Carlo methods to quantum
mechanical problems in the study of electronic and atomic structure, as well as
applications to statistical mechanical problems both of static and dynamic
nature. The common thread in all these applications is optimization of
many-parameter trial states, which is done by minimization of the variance of
the local or, more generally for arbitrary eigenvalue problems, minimization of
the variance of the configurational eigenvalue.
