Finding diameter-reducing shortcuts in trees
In the k-Diameter-Optimally Augmenting Tree Problem we are given a tree T of n vertices embedded in an unknown metric space. An oracle can report the cost of any edge in constant time, and we want to augment T with k shortcuts to minimize the resulting diameter. When k=1, O(nlogn)-time algorithms e...
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| Vydáno v: | Journal of computer and system sciences Ročník 153; s. 103658 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Elsevier Inc
01.11.2025
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| Témata: | |
| ISSN: | 0022-0000 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | In the k-Diameter-Optimally Augmenting Tree Problem we are given a tree T of n vertices embedded in an unknown metric space. An oracle can report the cost of any edge in constant time, and we want to augment T with k shortcuts to minimize the resulting diameter. When k=1, O(nlogn)-time algorithms exist for paths and trees. We show that o(n2) queries cannot provide a better than 10/9-approximation for trees when k≥3. For any constant ε>0, we design a linear-time (1+ε)-approximation algorithm for paths when k=o(logn), thus establishing a dichotomy between paths and trees for k≥3. Our algorithm employs an ad-hoc data structure, which we also use in a linear-time 4-approximation algorithm for trees, and to compute the diameter of (possibly non-metric) graphs with n+k−1 edges in time O(nklogn). |
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| ISSN: | 0022-0000 |
| DOI: | 10.1016/j.jcss.2025.103658 |