• 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
Fully persistent lists with catenation
Fully persistent lists with catenation

Removal from a Binary Search Tree
Removal from a Binary Search Tree

Slides
Slides

A Framework for Succinct Labeled Ordinal Trees over Large Alphabets
A Framework for Succinct Labeled Ordinal Trees over Large Alphabets

Recursive Data Structures 1. Recursion 2
Recursive Data Structures 1. Recursion 2

pptx
pptx

Algorithmics: Data Structures and Data Types
Algorithmics: Data Structures and Data Types

... which we can interpret as an int of value 80. As programmers, however, we do not want to be concerned with fiddling around with bit patterns, we are only interested in manipulating integer values. The mechanics of the operations we can perform on an int are hidden away – these “irrelevant details” a ...
Optimal Static Range Reporting in One Dimension
Optimal Static Range Reporting in One Dimension

Ornamental Algebras, Algebraic Ornaments
Ornamental Algebras, Algebraic Ornaments

... as a fancy version of lists, so we should not be surprised that there is a forgetful function which discards the additional indexing. Further, the purpose of indexing vectors is to expose length in types, so it is not a surprise that this index can be computed by the length function. Indeed, it took ...
data structure
data structure

Distributed Algorithms
Distributed Algorithms

Dynamic Data Structures Overview
Dynamic Data Structures Overview

Data Indexing
Data Indexing

Powerpoint
Powerpoint

I/O-E cient Dynamic Point Location in Monotone Planar Subdivisions
I/O-E cient Dynamic Point Location in Monotone Planar Subdivisions

trees - Omieno Kelvin
trees - Omieno Kelvin

DS | 6. Link Lists
DS | 6. Link Lists

...  Collection of similar data elements stored at discrete memory locations and connected by pointer (link). Hence size can grow or shrink at any point of time.  Abstract data type so we will implement only operations  Data elements are called nodes ...
Part 1
Part 1

Data Abstraction: The Walls
Data Abstraction: The Walls

A Skiplist-Based Concurrent Priority Queue with Minimal Memory
A Skiplist-Based Concurrent Priority Queue with Minimal Memory

An Array-Based ADT List
An Array-Based ADT List

... • Choosing the data structure to represent the ADT’s data is a part of implementation – Choice of a data structure depends on • Details of the ADT’s operations • Context in which the operations will be used ...
2-3-4 Trees - Randomly Philled
2-3-4 Trees - Randomly Philled

Building Java Programs
Building Java Programs

Data Structures and Algorithms – using JAVA
Data Structures and Algorithms – using JAVA

... Lab work and Assignments  The lab work consists of:  examples of already implemented problems  partial solutions of problems  assignments for lab and home work ...
B Trees
B Trees

... disk, the most common form of secondary storage, is significantly slower than random access memory (RAM). In fact, the system often spends more time retrieving data than actually processing data. B-trees are balanced trees that are optimized for situations when part or all of the tree must be mainta ...
< 1 ... 23 24 25 26 27 28 29 30 31 ... 72 >

Linked list



In computer science, a linked list is a data structure consisting of a group of nodes which together represent a sequence. Under the simplest form, each node is composed of data and a reference (in other words, a link) to the next node in the sequence; more complex variants add additional links. This structure allows for efficient insertion or removal of elements from any position in the sequence.Linked lists are among the simplest and most common data structures. They can be used to implement several other common abstract data types, including lists (the abstract data type), stacks, queues, associative arrays, and S-expressions, though it is not uncommon to implement the other data structures directly without using a list as the basis of implementation.The principal benefit of a linked list over a conventional array is that the list elements can easily be inserted or removed without reallocation or reorganization of the entire structure because the data items need not be stored contiguously in memory or on disk, while an array has to be declared in the source code, before compiling and running the program. Linked lists allow insertion and removal of nodes at any point in the list, and can do so with a constant number of operations if the link previous to the link being added or removed is maintained during list traversal.On the other hand, simple linked lists by themselves do not allow random access to the data, or any form of efficient indexing. Thus, many basic operations — such as obtaining the last node of the list (assuming that the last node is not maintained as separate node reference in the list structure), or finding a node that contains a given datum, or locating the place where a new node should be inserted — may require sequential scanning of most or all of the list elements. The advantages and disadvantages of using linked lists are given below.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report