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AND STOCHASTIC OPTIMIZATION ALGORITHMS FOR UNIFORM DESIGNS WITH THREE OR FOUR LEVELS (2008)

Abstract
Abstract. New lower bounds for three- and four-level designs under the centered L2-discrepancy are provided. We describe necessary conditions for the existence of a uniform design meeting these lower bounds. We consider several modifications of two stochastic optimization algorithms for the problem of finding uniform or close to uniform designs under the centered L2-discrepancy. Besides the threshold accepting algorithm, we introduce an algorithm named balance-pursuit heuristic. This algorithm uses some combinatorial properties of inner structures required for a uniform design. Using the best specifications of these algorithms we obtain many designs whose discrepancy is lower than those obtained in previous works, as well as many new low-discrepancy designs with fairly large scale. Moreover, some of these designs meet the lower bound, i.e., are uniform designs. 1.

Details der Publikation
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.95.4006
Quelle http://www.ams.org/mcom/2006-75-254/S0025-5718-05-01806-5/S0025-5718-05-01806-5.pdf
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Typ text
Sprache Englisch
Verknüpfungen 10.1.1.100.2225