• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
PPT - UNSW
PPT - UNSW

COMP9024: Data Structures and Algorithms
COMP9024: Data Structures and Algorithms

PPT - UNSW
PPT - UNSW

... { Input: An array X of n tokens, each of which is either a grouping symbol, a variable, an arithmetic operator, or a number Output: true if and only if all the grouping symbols in X match Let S be an empty stack; for ( i=0; i < n; i++) if ( X[i] is an opening grouping symbol ) S.push(X[i]); else if ...
Parallel Construction of Succinct Trees
Parallel Construction of Succinct Trees

Lecture By Dr. Baswana
Lecture By Dr. Baswana

... interview board calls students in any arbitrary order. The information(record) of each student is destroyed just after the interview. Due to reason best known to the board, while interviewing a student, with roll number, say i, they want to know the information about the student with maximum roll nu ...
Data Structures Using C Question Bank
Data Structures Using C Question Bank

... Ans: A queue is typically FIFO (priority queues don't quite follow that) while a stack is LIFO. Elements get inserted at one end of a queue and retrieved from the other, while the insertion and removal operations for a stack are done at the same end. Q29.What is the difference between storing data o ...
DCell
DCell

... Routing in a DCell-based DCN cannot use a global linkstate routing scheme since DCell’s goal is to interconnect up to millions of servers. The hierarchical OSPF [15] is also not suitable since it needs a backbone area to interconnect all the other areas. This creates both bandwidth bottleneck and si ...
DCell: A Scalable and Fault-Tolerant Network Structure for Data Centers
DCell: A Scalable and Fault-Tolerant Network Structure for Data Centers

Indexing and Querying XML Data for Regular Path Expressions
Indexing and Querying XML Data for Regular Path Expressions

Insert after specified number of nodes
Insert after specified number of nodes

... occasions. (Extra for experts) For relatively large arrays (larger than 8k bytes), the virtual memory system may partially compensate for this problem, since the "wasted" elements are never touched. 3) (minor) Inserting new elements at the front is potentially expensive because existing elements nee ...
Cache-Oblivious Algorithms and Data Structures
Cache-Oblivious Algorithms and Data Structures

... a constant factor of optimal. In this way, we can design and analyze algorithms in a two-level memory model, and obtain results for an arbitrary many-level memory hierarchy—provided we can make the algorithms cache-oblivious. Another, more practical consequence is self-tuning. Typical cache-efficien ...
Elementary Data Structures
Elementary Data Structures

CMSC 420: Data Structures
CMSC 420: Data Structures

slide-9-os-file-system
slide-9-os-file-system

NewUnit2Lists
NewUnit2Lists

KorthDB6_ch11
KorthDB6_ch11

...  In processing a query, a path is traversed in the tree from the root to some leaf ...
Midterm
Midterm

Fast Approximate String Matching in a Dictionary
Fast Approximate String Matching in a Dictionary

Document
Document

Skip Lists: A Probabilistic Alternative to Balanced Trees - CMU 15-721
Skip Lists: A Probabilistic Alternative to Balanced Trees - CMU 15-721

... overhead on any implementation of self-adjusting trees. Skip list algorithms seem to have very low inherent constant-factor overheads: the inner loop of the deletion algorithm for skip lists compiles to just six instructions on the 68020. Second, if the algorithm is complex, programmers are deterred ...
hash table
hash table

pptx - Electrical and Computer Engineering
pptx - Electrical and Computer Engineering

... Douglas Wilhelm Harder, M.Math. LEL Department of Electrical and Computer Engineering University of Waterloo Waterloo, Ontario, Canada ece.uwaterloo.ca [email protected] © 20143 by Douglas Wilhelm Harder. Some rights reserved. ...
Chapter 15
Chapter 15

... Education, Inc. All rights reserved. 0-13-140909-3 ...
The BoND-tree: An Efficient Indexing Method for Box Queries in Non-ordered Discrete Data Spaces, IEEE Transactions on Data and Knowledge Engineering, 2013, Changqing Chen, Alok Watve, Sakti Pramanik, Qiang Zhu
The BoND-tree: An Efficient Indexing Method for Box Queries in Non-ordered Discrete Data Spaces, IEEE Transactions on Data and Knowledge Engineering, 2013, Changqing Chen, Alok Watve, Sakti Pramanik, Qiang Zhu

... The vantage-point tree [15], [29] and its variants like the MVP tree [5] are indexing techniques designed for the metric space [7]. As a special case of the metric space, the vector space [25], [28] including NDDSs could also be indexed by metric indexing structures. But a major drawback of these te ...
DATA STRUCTURE
DATA STRUCTURE

... • Memory to be allocated to the variable is fixed and is determined by the compiler at the compile time. • Exp:- if it is a single integer variable it ...
< 1 ... 32 33 34 35 36 37 38 39 40 ... 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.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report