2–3–4 tree - Wikipedia
In computer science, a 2–3–4 tree (also called a 2–4 tree) is a self-balancing data structure that can be used to implement dictionaries. The numbers mean a tree where every node with children (internal node) has either two, three, or four child nodes: a 2-node has one data element, and if internal has two child nodes; a 3-node has two data elements, and if internal has three child nodes; a 4-node
Robert Sedgewick - Robert Sedgewick
Robert Sedgewick is the founding chair and the William O. Baker Professor in the Department of Computer Science at Princeton University. He was a member of the board of directors of Adobe Systems from 1990 to 2016, served on the faculty at Brown University from 1975 to 1985, and has held visiting research positions at Xerox PARC, IDA, and INRIA. His research expertise is in algorithm science, data
B-tree - Wikipedia
In computer science, a B-tree is a self-balancing tree data structure that maintains sorted data and allows searches, sequential access, insertions, and deletions in logarithmic time. The B-tree generalizes the binary search tree, allowing for nodes with more than two children.[2] By allowing more children under one node than a regular self-balancing binary search tree, the B-tree reduces the heig
2–3 tree - Wikipedia
In computer science, a 2–3 tree is a tree data structure, where every node with children (internal node) has either two children (2-node) and one data element or three children (3-node) and two data elements. A 2–3 tree is a B-tree of order 3.[1] Nodes on the outside of the tree (leaf nodes) have no children and one or two data elements.[2][3] 2–3 trees were invented by John Hopcroft in 1970.[4] 2
B木 - naoyaのはてなダイアリー
昨年から続いているアルゴリズムイントロダクション輪講も、早いもので次は18章です。18章のテーマはB木(B Tree, Bツリー) です。B木はマルチウェイ平衡木(多分木による平衡木)で、データベースやファイルシステムなどでも良く使われる重要なデータ構造です。B木は一つの木の頂点にぶら下がる枝の本数の下限と上限を設けた上、常に平衡木であることを制約としたデータ構造になります。 輪講の予習がてら、B木を Python で実装してみました。ソースコードを最後に掲載します。以下は B木に関する考察です。 B木がなぜ重要なのか B木が重要なのは、B木(の変種であるB+木*1など)が二次記憶装置上で効率良く操作できるように設計されたデータ構造だからです。データベースを利用するウェブアプリケーションなど、二次記憶(ハードディスク)上の大量のデータを扱うソフトウェアを運用した経験がある方なら、いかにディ
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Btrees are the new black - Me
Btrees are the new black | Hacker News
llrb package - github.com/petar/GoLLRB/llrb - Go Packages
GitHub - petar/GoLLRB: A Left-Leaning Red-Black (LLRB) implementation of balanced binary search trees for Google Go
B-Tree Visualization
How do I derive the best and worst case height of a B-Tree?
Why is b-tree search O(log n)?