TY - GEN
T1 - A Unified Framework for Light Spanners
AU - Le, Hung
AU - Solomon, Shay
N1 - Publisher Copyright:
© 2023 ACM.
PY - 2023/6/2
Y1 - 2023/6/2
N2 - Seminal works on light spanners over the years provide spanners with optimal lightness in various graph classes, such as in general graphs, Euclidean spanners, and minor-free graphs. Three shortcomings of previous works on light spanners are: (i) The runtimes of these constructions are almost always sub-optimal, and usually far from optimal. (ii) These constructions are optimal in the standard and crude sense, but not in a refined sense that takes into account a wider range of involved parameters. (iii) The techniques are ad hoc per graph class, and thus can't be applied broadly. This work aims at addressing these shortcomings by presenting a unified framework of light spanners in a variety of graph classes. Informally, the framework boils down to a transformation from sparse spanners to light spanners; since the state-of-the-art for sparse spanners is much more advanced than that for light spanners, such a transformation is powerful. First, we apply our framework to design fast constructions with optimal lightness for several graph classes. Second, we apply our framework to achieve more refined optimality bounds for several graph classes, i.e., the bounds remain optimal when taking into account a wider range of involved parameters, most notably ". Our new constructions are significantly better than the state-of-the-art for every examined graph class.
AB - Seminal works on light spanners over the years provide spanners with optimal lightness in various graph classes, such as in general graphs, Euclidean spanners, and minor-free graphs. Three shortcomings of previous works on light spanners are: (i) The runtimes of these constructions are almost always sub-optimal, and usually far from optimal. (ii) These constructions are optimal in the standard and crude sense, but not in a refined sense that takes into account a wider range of involved parameters. (iii) The techniques are ad hoc per graph class, and thus can't be applied broadly. This work aims at addressing these shortcomings by presenting a unified framework of light spanners in a variety of graph classes. Informally, the framework boils down to a transformation from sparse spanners to light spanners; since the state-of-the-art for sparse spanners is much more advanced than that for light spanners, such a transformation is powerful. First, we apply our framework to design fast constructions with optimal lightness for several graph classes. Second, we apply our framework to achieve more refined optimality bounds for several graph classes, i.e., the bounds remain optimal when taking into account a wider range of involved parameters, most notably ". Our new constructions are significantly better than the state-of-the-art for every examined graph class.
KW - Geometric Spanners
KW - Graph spanners
KW - Light Spanners
UR - http://www.scopus.com/inward/record.url?scp=85163141515&partnerID=8YFLogxK
U2 - 10.1145/3564246.3585185
DO - 10.1145/3564246.3585185
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AN - SCOPUS:85163141515
T3 - Proceedings of the Annual ACM Symposium on Theory of Computing
SP - 295
EP - 308
BT - STOC 2023 - Proceedings of the 55th Annual ACM Symposium on Theory of Computing
A2 - Saha, Barna
A2 - Servedio, Rocco A.
PB - Association for Computing Machinery
T2 - 55th Annual ACM Symposium on Theory of Computing, STOC 2023
Y2 - 20 June 2023 through 23 June 2023
ER -