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Chapter 11 I/O Management and Disk Scheduling Scheduling
Chapter 11 I/O Management and Disk Scheduling Scheduling

PR Quadtrees
PR Quadtrees

... PR Quadtree Using Buckets ...
Lecture 18 - UMass CS !EdLab
Lecture 18 - UMass CS !EdLab

... In insertKeyNode, going left, value at node = 31 In insertKeyNode, going right, value at node = 24 In insertKeyNode, going right, value at node = 28 ...
Linked list resources
Linked list resources

... The numbers stratin from 0x1000 are known as memory locations. The values to the right are known as data. This is what is stored at each memory location. Array above is: ...
Efficient Data Structures for Storing Partitions of Integers
Efficient Data Structures for Storing Partitions of Integers

LISTS
LISTS

Overview and History
Overview and History

COS 318: Operating Systems File Layout and Directories Kai Li Computer Science Department
COS 318: Operating Systems File Layout and Directories Kai Li Computer Science Department

Forbidden Extension Queries - DROPS
Forbidden Extension Queries - DROPS

... Processing Type A and Type B Chains. For type A chains, we construct range reporting data structure, as described in Fact 1, with each chain (i, j), j = next(i), mapped to a weighted two dimensional point (j, depth(i, j)) with weight doc(i). Likewise, for type B chains, we map chain (i, j) to the po ...
Juzi: A Tool for Repairing Complex Data Structures
Juzi: A Tool for Repairing Complex Data Structures

linked list
linked list

... We will now examine linked list operations: • Add an item to the linked list • We have 3 situations to consider: • insert a node at the front • insert a node in the middle • insert a node at the end • Delete an item from the linked list • We have 3 situations to consider: • delete the node at the fr ...
linked list
linked list

... We will now examine linked list operations: • Add an item to the linked list • We have 3 situations to consider: • insert a node at the front • insert a node in the middle • insert a node at the end • Delete an item from the linked list • We have 3 situations to consider: • delete the node at the fr ...
A Space-Efficient Algorithm for Segment Intersection
A Space-Efficient Algorithm for Segment Intersection

... embedded within the implicit tree structure T without using additional space. The key idea is to keep track of a priority value per block rather than per segment. Define a tree block’s event to be the leftmost among the events of the segments in the block and the gap between the block and its succes ...
Pointers
Pointers

Parallelization of Bulk Operations for STL Dictionaries
Parallelization of Bulk Operations for STL Dictionaries

chap11
chap11

... Thl is an AVL tree of height h – 1 such that Thl has the fewest number of nodes among all AVL trees of height h – 1. Thr is an AVL tree of height h – 2 that has the fewest number of nodes among all AVL trees of height h – 2. Thl is of the form Th -1 and Thr is of the form Th -2. Hence: ...
Fall 2008 (Midterm 2)
Fall 2008 (Midterm 2)

... Nb non-repeating integers, respectively. Note that some of the integers in ArrayA could be present in ArrayB as well. Write a Java method mergeSortAB that merges ArrayA and ArrayB into a single sorted list, ArrayC, such that ArrayC contains integers that are in ArrayA or ArrayB but not in both. In o ...
Jigar Gada - Usc - University of Southern California
Jigar Gada - Usc - University of Southern California

Fundamental Algorithms
Fundamental Algorithms

... A deterministic algorithm always returns the same result for a certain input. In contrast, a non deterministic algorithms may return different results when executed again. This is the case for an algorithm with a “memory”. Suppose the algorithm adds the input to the last value it has computed. So ca ...
COS 318: Operating Systems File Layout and Directories Andy Bavier Computer Science Department
COS 318: Operating Systems File Layout and Directories Andy Bavier Computer Science Department

... space allocation and free Fast searching and relatively ...
Modularity and Community Structure in Networks
Modularity and Community Structure in Networks

No Slide Title
No Slide Title

... measures the number of bytes from the beginning (beg), ending (end), or current position (cur) in the file. If a file is used for both input and output, use the seek functions tellg() and seekg(). ...
DataRover: A Taxonomy Based Crawler for
DataRover: A Taxonomy Based Crawler for

... number of similarity links inside the current segment. If this ratio is less than threshold δ, the previous node is marked as the segment boundary. Otherwise, current node is added to the current segment and next node is considered as the segment boundary. The above process is stopped when the last ...
P 1
P 1

< 1 ... 58 59 60 61 62 63 64 65 66 ... 102 >

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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