Path and Ancestor Queries on Trees with Multidimensional Weight Vectors
Meng He, Serikzhan Kazi

TL;DR
This paper introduces efficient data structures for answering complex path and ancestor queries on trees with multidimensional weights, generalizing orthogonal range queries and achieving near-optimal tradeoffs.
Contribution
It presents novel algorithms and data structures for path and ancestor queries on trees with multidimensional weights, extending orthogonal range query techniques.
Findings
Achieves near-optimal query and space tradeoffs for ancestor dominance reporting.
First to solve path successor problem for one-dimensional weights.
Provides efficient solutions for path counting and reporting problems.
Abstract
We consider an ordinal tree on nodes, with each node assigned a -dimensional weight vector where is a constant. We study path queries as generalizations of well-known {\textit{orthogonal range queries}}, with one of the dimensions being tree topology rather than a linear order. Since in our definitions only represents the number of dimensions of the weight vector without taking the tree topology into account, a path query in a tree with -dimensional weight vectors generalize the corresponding -dimensional orthogonal range query. We solve {\textit{ancestor dominance reporting}} problem as a direct generalization of dominance reporting problem, %in time in time %and space of words, and space of…
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Taxonomy
TopicsAlgorithms and Data Compression · Data Management and Algorithms · Complexity and Algorithms in Graphs
