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2009: Changqing Chen
2009: Changqing Chen

... suggests that indexing techniques which work well for similarity queries may not necessarily support efficient box queries. In this thesis, we propose the BoND-tree, a new indexing technique designed for supporting box queries in an NDDS. Both our theoretical analysis and experimental results demon ...
recdata
recdata

Chapter 17 - University of Arizona
Chapter 17 - University of Arizona

17 - Arizona Computer Science
17 - Arizona Computer Science

Optimal Purely Functional Priority Queues
Optimal Purely Functional Priority Queues

Circularly-linked list
Circularly-linked list

The following paper was originally published in the
The following paper was originally published in the

Dictionary Data Structures
Dictionary Data Structures

A Data Parallel Algorithm for XML DOM Parsing
A Data Parallel Algorithm for XML DOM Parsing

... popped and the parsing continues. After the last character of the document is processed, if S is empty, then the entire DOM tree has been constructed. Otherwise, the document is not well-formed. 3.2 A Parallel Approach Given an XML document, any data parallel algorithm would perform the following ta ...
Chapter 7: Relational Database Design
Chapter 7: Relational Database Design

Big Idea - Department of Computer Science
Big Idea - Department of Computer Science

... … insert particle j in QuadTree endfor … At this point, each leaf of Quad_Tree will have 0 or 1 particles … There will be 0 particles when some sibling has 1 Traverse the Quad_Tree eliminating empty leaves … via, say Breadth First Search Procedure Quad_Tree_Insert(j, n) … Try to insert particle j at ...
ABSTRACT The Binary Search Tree serves as an important
ABSTRACT The Binary Search Tree serves as an important

... // zero out to prevent children from deletion right = left = 0; delete this; return result; ...
Practical lock-freedom - Cambridge Computer Lab
Practical lock-freedom - Cambridge Computer Lab

Introduction to Algorithms, Data Structures and Formal Languages
Introduction to Algorithms, Data Structures and Formal Languages

Package `data.tree`
Package `data.tree`

Creating common information structures using list's stored in data step hash objects
Creating common information structures using list's stored in data step hash objects

Document
Document

Optimal Purely Functional Priority Queues
Optimal Purely Functional Priority Queues

TOPICS IN ALGORITHMS
TOPICS IN ALGORITHMS

Lecture Notes- Data Structures
Lecture Notes- Data Structures

... of time for a given input size.You can label a function, or algorithm, with an Asymptotic Notation in many different ways. Some examples are, you can describe an algorithm by its best case, worse case, or equivalent case. The most common is to analyze an algorithm by its worst case. You typically do ...
Dynamic Data Structures: Orthogonal Range Queries and Update
Dynamic Data Structures: Orthogonal Range Queries and Update

... than previous worst-case efficient structures, under the assumption that the x-coordinates of the points are drawn from a smooth probabilistic distribution, and the y-coordinates are drawn from a class of probabilistic distributions that exhibit unbounded density. In Section 2.4 we waive the assumpt ...
binary heap - K.f.u.p.m ocw
binary heap - K.f.u.p.m ocw

CS3114_09212011 - People
CS3114_09212011 - People

... • To do well, you must be able to handle both – Programming (we focus on projects with dynamic memory allocation and file processing) – Content, theory and analysis ...
Introduction to Data Structure
Introduction to Data Structure

Efficiency Improvement of Narrow Range Query - CEUR
Efficiency Improvement of Narrow Range Query - CEUR

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Red–black tree

A red–black tree is a binary search tree with an extra bit of data per node, its color, which can be either red or black. The extra bit of storage ensures an approximately balanced tree by constraining how nodes are colored from any path from the root to the leaf. Thus, it is a data structure which is a type of self-balancing binary search tree.Balance is preserved by painting each node of the tree with one of two colors (typically called 'red' and 'black') in a way that satisfies certain properties, which collectively constrain how unbalanced the tree can become in the worst case. When the tree is modified, the new tree is subsequently rearranged and repainted to restore the coloring properties. The properties are designed in such a way that this rearranging and recoloring can be performed efficiently.The balancing of the tree is not perfect but it is good enough to allow it to guarantee searching in O(log n) time, where n is the total number of elements in the tree. The insertion and deletion operations, along with the tree rearrangement and recoloring, are also performed in O(log n) time.Tracking the color of each node requires only 1 bit of information per node because there are only two colors. The tree does not contain any other data specific to its being a red–black tree so its memory footprint is almost identical to a classic (uncolored) binary search tree. In many cases the additional bit of information can be stored at no additional memory cost.
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