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A Decision Procedure for Concurrent Skiplists
A Decision Procedure for Concurrent Skiplists

Search
Search

Recursive Data Structure Profiling
Recursive Data Structure Profiling

Dynamic Network Evolution: Models, Clustering, Anomaly Detection
Dynamic Network Evolution: Models, Clustering, Anomaly Detection

On the Suitability of Suffix Arrays for Lempel
On the Suitability of Suffix Arrays for Lempel

... solve the sub-string problem almost as efficiently as an ST [3]; moreover, its use is more appropriate when the alphabet is large. An SA can be built using a sorting algorithm, such as “quicksort”; it is possible to convert an ST into an SA in linear time [3]. An SA does not has the limitation of an ...
A Skip List Cookbook - Computational Geometry Lab
A Skip List Cookbook - Computational Geometry Lab

... need to perform. We first examine the number of pointers we have to backtrack to climb from level 1 (of the element immediately before the element searched for) up to level L(n). We assume we have no knowledge of the levels of elements in the list, and that we always reach level L(n) before we reach ...
21 Collections of data
21 Collections of data

... for holding collections of data items. These different structures are adapted to meet specific needs; each has associated functionality to help manage and use the collection. For example, a simple Queue provides a structure where new data items can be added "at the rear"; the data item "at the front ...
master thesis
master thesis

LSH Forest: Self-Tuning Indexes for Similarity Search
LSH Forest: Self-Tuning Indexes for Similarity Search

Class Notes for CSCI 104: Data Structures and Object-Oriented Design
Class Notes for CSCI 104: Data Structures and Object-Oriented Design

ppt - EECG Toronto
ppt - EECG Toronto

Chapter13. Priority Queues
Chapter13. Priority Queues

... iff at every internal node, the s value of the left child is greater than or equal to the s value of the right child. ...
03ListsStacksAndQueues
03ListsStacksAndQueues

Average-Case Analysis of Algorithms and Data Structures
Average-Case Analysis of Algorithms and Data Structures

Average-Case Analysis of Algorithms and Data Structures
Average-Case Analysis of Algorithms and Data Structures

data_structure_IIISem_ECE - Dronacharya College of Engineering
data_structure_IIISem_ECE - Dronacharya College of Engineering

... Q7. What is the difference between recursion and iteration? Ans: During recursion, a global variable could be used to control the depth of recursion, or data pushed onto some stack could provide a termination condition; and in the latter case this termination condition is usually related to the form ...
Optimal Purely Functional Priority Queues
Optimal Purely Functional Priority Queues

Chapter 10 - Wikispaces
Chapter 10 - Wikispaces

Approximate Temporal Aggregation
Approximate Temporal Aggregation

Wavelet Trees Meet Suffix Trees
Wavelet Trees Meet Suffix Trees

Workbook - Skylight Publishing
Workbook - Skylight Publishing

Burst Tries: A Fast, Efficient Data Structure for
Burst Tries: A Fast, Efficient Data Structure for

... guarantees that the amortised cost of accessing a tree of n nodes is at most O(log n). In practice, however, splay trees have significant disadvantages [53]. In comparison to a BST, a splay tree requires more memory, since an efficient implementation of splaying requires that each node have a pointe ...
w12_1_INF280_query_algorithms
w12_1_INF280_query_algorithms

Orthogonal Range Searching
Orthogonal Range Searching

... intersect the regions corresponding to both children of lc (root (T )). ...
as a PDF
as a PDF

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B-tree



In computer science, a B-tree is a tree data structure that keeps data sorted and allows searches, sequential access, insertions, and deletions in logarithmic time. The B-tree is a generalization of a binary search tree in that a node can have more than two children (Comer 1979, p. 123). Unlike self-balancing binary search trees, the B-tree is optimized for systems that read and write large blocks of data. B-trees are a good example of a data structure for external memory. It is commonly used in databases and filesystems.
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