Title
On Minimum Generalized Manhattan Connections
Abstract
We consider minimum-cardinality Manhattan connected sets with arbitrary demands: Given a collection of points P in the plane, together with a subset of pairs of points in P (which we call demands), find a minimum-cardinality superset of P such that every demand pair is connected by a path whose length is the l(1)-distance of the pair. This problem is a variant of three well-studied problems that have arisen in computational geometry, data structures, and network design: (i) It is a node-cost variant of the classical Manhattan network problem, (ii) it is an extension of the binary search tree problem to arbitrary demands, and (iii) it is a special case of the directed Steiner forest problem. Since the problem inherits basic structural properties from the context of binary search trees, an O(log n)-approximation is trivial. We show that the problem is NP-hard and present an O(root log n)-approximation algorithm. Moreover, we provide an O(log log n)-approximation algorithm for complete k-partite demands as well as improved results for unit-disk demands and several generalizations. Our results crucially rely on a new lower bound on the optimal cost that could potentially be useful in the context of BSTs.
Year
DOI
Venue
2021
10.1007/978-3-030-83508-8_7
ALGORITHMS AND DATA STRUCTURES, WADS 2021
Keywords
DocType
Volume
Manhattan networks, Binary search tree, NP-hardness
Conference
12808
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
0
8