Cornelis van de Panne

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In Data Envelopment Analysis when the number of decision making units is small the number of units of the dominant or e cient set is relatively large and the average e ciency is generally high The high average e ciency is the result of assuming that the units in the e cient set are e cient If this assumption is not valid this results in an overestimation of(More)
An algorithm for the linear complementarity problem is developed which uses principal pivots only. The algorithm is shown to be equivalent to Lemke's algorithm. The advantageof the proposed algorithm is that infeasibility tests may be made after each principal pivot. One such test is equivalent to a check whether the matrix satisfies the "plus" condition of(More)
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