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UB-tree

The UB-tree, also known as the Universal B-Tree, as proposed by Rudolf Bayer and Volker Markl is a balanced tree for storing and efficiently retrieving multidimensional data. Like a B+ tree, information is stored only in the leaves. Records are stored according to Z-order, also called Morton order. Z-order is calculated by bitwise interlacing of the keys.

Overview, Related Topics & Entities

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Explore the main themes, entities and connections around UB-tree. Start with the topic map, then use the sections below for research and deeper semantic analysis.

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Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Invented by
Rudolf Bayer and Volker Markl
Operation
Average
Time complexity in big O notation
Time complexity in big O notationOperation Average Worst caseSpace complexity
Type
tree

Topics to explore

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Overview

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

UB-tree

Nodes8
Edges7
Triples4
Avg. degree1.75
Density0.25
Components1

How this topic connects Entity context

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UB-tree

Top relations

Invented by · 1
UB-tree → Rudolf Bayer and Volker Markl
Operation · 1
UB-tree → Average
Time complexity in big O notation · 1
UB-tree → Time complexity in big O notationOperation Average Worst caseSpace complexity
Type · 1
UB-tree → tree

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

z-order tree also proposed multidimensional data stored point query trees range algorithm search described rudolf bayer volker markl known universal

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
UB-treeInvented byRudolf Bayer and Volker Markl1.00infobox
UB-treeOperationAverage1.00infobox
UB-treeTime complexity in big O notationTime complexity in big O notationOperation Average Worst caseSpace complexity1.00infobox
UB-treeTypetree1.00infobox

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
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