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Abstract
Aggregating linear complementarity problems under a general definition
of constrained consistency leads to the possibility of consistent aggregation
of linear and quadratic programming models. Under this formulation,
consistent aggregation of dual variables is also achieved. Furthermore,
the existence of multiple sets of aggregation operators is illustrated
with a numerical example. Such multiple operators allow considerable
flexibility of the microstructures admitting consistent aggregation.