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In recent years, several very efficient exact optimization algorithms have

been developed in the computer science community. Examples are maximum flow

algorithms, minimum-cost flow techniques, matching methods, which all are graph

theoretical approaches or sophisticated branch-and-cut methods, originating in

the field of linear optimization. These algorithms have now been applied to

problems from physics like for random magnetic materials (random-field systems,

spin glasses), in surface physics (solid-on-solid models) and many other

disordered systems. The system sizes which can be treated are now much larger

than ten years before, allowing the obtain now more reliable and higher

significant data.

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