Abstract
This paper shows how various limited-memory quasi-Newton large-scale unconstrained minimization methods can be used to speed up the location of global minima of potential energy surfaces related to the structures of mixed Ar-Xe clusters. Both a simulated annealing method and a finite-temperature lattice-based Monte Carlo method are accelerated by the various quasi-Newton limited-memory methods which are then compared for computational efficiency.
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