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Fully-online Construction of Suffix Trees for Multiple Texts
Fully-online Construction of Suffix Trees for Multiple Texts

The HV-tree: a Memory Hierarchy Aware Version Index
The HV-tree: a Memory Hierarchy Aware Version Index

Deletion Without Rebalancing in Non-Blocking Self
Deletion Without Rebalancing in Non-Blocking Self

Powerpoint - Chapters 16-18
Powerpoint - Chapters 16-18

CSci 161
CSci 161

Linked List
Linked List

Wait-Free Linked-Lists
Wait-Free Linked-Lists

singly linked list - KFUPM Resources v3
singly linked list - KFUPM Resources v3

Design, Implementation and Evaluation of Efficient Data
Design, Implementation and Evaluation of Efficient Data

Maintenance of the Convex Hull of a Dynamic Set
Maintenance of the Convex Hull of a Dynamic Set

... may become part of the new convex hull (see Figure 2.1). Also, the number of points added to the convex hull can be rather large. Hence, it is not enough just to store internal points for future use, we also need to store them in a manner which allows efficient updates even when a large number of po ...
slides04
slides04

... typically linked lists used when # elements in a collection varies, isn’t known, can’t be fixed at compile time  Could grow array, potentially expensive/wasteful especially if # elements is small.  Also need # elements in array, requires extra parameter  With linked list, one pointer used to acce ...
The Buffer Tree
The Buffer Tree

struct node - CSE@IIT Delhi
struct node - CSE@IIT Delhi

Contents - myrvoll.it
Contents - myrvoll.it

... Big O notation is useful when analyzing algorithms for efficiency. For example, the time (or the number of steps) it takes to complete a problem of size n might be found to be T(n) = 4n2 − 2n + 2. As n grows large, the n2 term will come to dominate, so that all other terms can be neglected — for ins ...
Lock-Free Data-Structure Iterators
Lock-Free Data-Structure Iterators

Chap 07 :: Trees
Chap 07 :: Trees

web.cs.ucla.edu - UCLA Computer Science
web.cs.ucla.edu - UCLA Computer Science

... There is a trend for sensitive user data to be stored by third parties on the Internet. For example, personal email, data, and personal preferences are stored on web portal sites such as Google and Yahoo. The attack correlation center, dshield.org, presents aggregated views of attacks on the Interne ...
FUNDAMENTALS OF DATABASE SYSTEMS Course No. 1.963
FUNDAMENTALS OF DATABASE SYSTEMS Course No. 1.963

... Kjell Orsborn ...
Data structures
Data structures

Chapters 8
Chapters 8

... Simplified Pseudo Code Examples for deletes and inserts in a bottom up manner. This insert approach requires another rule -- Null children are counted as black. T is the tree p is parent x is a the current node pointer color() returns the color of a node or sets it if assigned to root() returns if t ...
Powerpoint - MHS Comp Sci
Powerpoint - MHS Comp Sci

... Non-Linked Representation of Binary Trees is a more efficient way of implementing heaps. Here all nodes are stored in an array in a certain order so that for each node it is easy to find its children and its parent ...
Chapter 19 Java Data Structures
Chapter 19 Java Data Structures

...  trick is to create a new larger array to replace the current array if the current array cannot hold new elements in the list  Initially, an array, say data of Object[] type, is created with a default size  When inserting a new element into the array, first ensure there is enough room in the arra ...
Priority Queues (Heaps)
Priority Queues (Heaps)

Linked lists, skip lists
Linked lists, skip lists

... head.next is the first element in the list head.prev is the last element you never need to update head no node's next or prev is ever null ...
Data Structures Analysis
Data Structures Analysis

< 1 ... 8 9 10 11 12 13 14 15 16 ... 62 >

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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