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oai:drops-oai.dagstuhl.de:24271 2025-11-12T13:39:41Z ddc:004 open_access

Grandchildren-Weight-Balanced Binary Search Trees Jugé, Vincent Data structures Balanced binary trees We revisit weight-balanced trees, also known as trees of bounded balance. Invented by Nievergelt and Reingold in 1972, these trees are obtained by assigning a weight to each node and requesting that the weight of each node should be quite larger than the weights of its children, the precise meaning of "quite larger" depending on a real-valued parameter γ. Blum and Mehlhorn then showed how to maintain them in a recursive (bottom-up) fashion when 2/11 ⩽ γ ⩽ 1-1/√2, their algorithm requiring only an amortised constant number of tree rebalancing operations per update (insertion or deletion). Later, in 1993, Lai and Wood proposed a top-down procedure for updating these trees when 2/11 ⩽ γ ⩽ 1/4. Our contribution is two-fold. First, we strengthen the requirements of Nievergelt and Reingold, by also requesting that each node should have a substantially larger weight than its grandchildren, thereby obtaining what we call grandchildren-balanced trees. Grandchildren-balanced trees are not harder to maintain than weight-balanced trees, but enjoy a smaller node depth, both in the worst case (with a 6 % decrease) and on average (with a 1.6 % decrease). In particular, unlike standard weight-balanced trees, all grandchildren-balanced trees with n nodes are of height less than 2 log₂(n). Second, we adapt the algorithm of Lai and Wood to all weight-balanced trees, i.e., to all parameter values γ such that 2/11 ⩽ γ ⩽ 1-1/√2. More precisely, we adapt it to all grandchildren-balanced trees for which 1/4 < γ ⩽ 1 - 1/√2. Finally, we show that, except in limit cases (where, for instance, γ = 1 - 1/√2), all these algorithms result in making a constant amortised number of tree rebalancing operations per tree update. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Vincent Jugé 2025 Is Part Of LIPIcs, Volume 349, 19th International Symposium on Algorithms and Data Structures (WADS 2025) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/LIPIcs.WADS.2025.40 urn:nbn:de:0030-drops-242710 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.WADS.2025.40 eng https://creativecommons.org/licenses/by/4.0/legalcode