Abstract
Let (W,d) be a metric space and S = {s 1.s k } an ordered list of subsets of W. The distance between p â̂̂ W and s i â̂̂ S is d(p, s i ) = min { d(p,q): q â̂̂ s i }. S is a resolving set for W if d(x, s i ) = d(y, s i ) for all s i implies x = y. A metric basis is a resolving set of minimal cardinality, named the metric dimension of (W,d). The metric dimension has been extensively studied in the literature when W is a graph and S is a subset of points (classical case) or when S is a partition of W; the latter is known as the partition dimension problem. We have recently studied the case where W is the discrete space ℤn for a subset of points; in this paper, we tackle the partition dimension problem for classical Minkowski distances as well as polyhedral gauges and chamfer norms in ℤn . © 2013 Springer-Verlag Berlin Heidelberg.
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Rebatel, F., & Thiel, É. (2013). On dimension partitions in discrete metric spaces. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7749 LNCS, pp. 11–22). Springer Verlag. https://doi.org/10.1007/978-3-642-37067-0_2
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