This document discusses different types of linked lists including singly linked lists, circular linked lists, and doubly linked lists. It provides details on representing stacks and queues using linked lists. Key advantages of linked lists over arrays are that linked lists can dynamically grow in size as needed, elements can be inserted and deleted without shifting other elements, and there is no memory wastage. Operations like insertion, deletion, traversal, and searching are described for singly linked lists along with sample C code to implement a linked list, stack, and queue.
Linked lists are linear data structures where each node contains a data field and a pointer to the next node. There are two types: singly linked lists where each node has a single next pointer, and doubly linked lists where each node has next and previous pointers. Common operations on linked lists include insertion and deletion which have O(1) time complexity for singly linked lists but require changing multiple pointers for doubly linked lists. Linked lists are useful when the number of elements is dynamic as they allow efficient insertions and deletions without shifting elements unlike arrays.
A linked list is a linear data structure consisting of nodes that are connected to each other through pointers. Each node contains a data field and a pointer to the next node. Linked lists allow for efficient insertion and removal of nodes and are more flexible than arrays in terms of memory allocation. Common types of linked lists include singly linked lists, doubly linked lists, circular linked lists, and header linked lists.
A linked list is a data structure made up of nodes that are connected to each other via pointers. Each node contains a data field as well as a pointer to the next node. Linked lists allow dynamic sizes and efficient insertion/deletion of nodes. Common linked list operations include appending nodes to the end, inserting nodes in a sorted order, traversing the list to display nodes, and deleting nodes. The code sample shows a template for a linked list class with functions to implement these operations by traversing the list and manipulating the node pointers accordingly.
Linked List Static and Dynamic Memory AllocationProf Ansari
Static variables are declared and named while writing the program. (Space for them exists as long as the program, in which they are declared, is running.) Static variables cannot be created or destroyed during execution of the program in which they are declared.
Dynamic variables are created (and may be destroyed) during program execution since dynamic variables do not exist while the program is compiled, but only when it is run, they cannot be assigned names while it is being written. The only way to access dynamic variables is by using pointers. Once it is created, however, a dynamic variable does contain data and must have a type like any other variable. If a dynamic variable is created in a function, then it can continue to exist even after the function terminates.
Linked Linear List
We saw in previous chapters how static representation of linear ordered list through Array leads to wastage of memory and in some cases overflows. Now we don't want to assign memory to any linear list in advance instead we want to allocate memory to elements as they are inserted in list. This requires Dynamic Allocation of memory and it can be achieved by using malloc() or calloc() function.
But memory assigned to elements will not be contiguous, which is a requirement for linear ordered list, and was provided by array representation. How we could achieve this?
This document discusses linked lists and their implementation. It begins by defining a list as a sequence of zero or more elements of a given type that can be linearly ordered. Linked lists are introduced as a flexible data structure that uses nodes connected by pointers to dynamically allocate elements in memory. The key operations on linked lists are described, including appending, traversing, inserting, deleting nodes. Code examples are provided to implement these operations using a ListNode struct containing a data element and pointer to the next node. Functions like appendNode and displayList are demonstrated, with appendNode adding to the end of the list and displayList traversing the list to output each element.
This document discusses different types of linked lists including singly linked lists, circular linked lists, and doubly linked lists. It provides details on representing stacks and queues using linked lists. Key advantages of linked lists over arrays are that linked lists can dynamically grow in size as needed, elements can be inserted and deleted without shifting other elements, and there is no memory wastage. Operations like insertion, deletion, traversal, and searching are described for singly linked lists along with sample C code to implement a linked list, stack, and queue.
Linked lists are linear data structures where each node contains a data field and a pointer to the next node. There are two types: singly linked lists where each node has a single next pointer, and doubly linked lists where each node has next and previous pointers. Common operations on linked lists include insertion and deletion which have O(1) time complexity for singly linked lists but require changing multiple pointers for doubly linked lists. Linked lists are useful when the number of elements is dynamic as they allow efficient insertions and deletions without shifting elements unlike arrays.
A linked list is a linear data structure consisting of nodes that are connected to each other through pointers. Each node contains a data field and a pointer to the next node. Linked lists allow for efficient insertion and removal of nodes and are more flexible than arrays in terms of memory allocation. Common types of linked lists include singly linked lists, doubly linked lists, circular linked lists, and header linked lists.
A linked list is a data structure made up of nodes that are connected to each other via pointers. Each node contains a data field as well as a pointer to the next node. Linked lists allow dynamic sizes and efficient insertion/deletion of nodes. Common linked list operations include appending nodes to the end, inserting nodes in a sorted order, traversing the list to display nodes, and deleting nodes. The code sample shows a template for a linked list class with functions to implement these operations by traversing the list and manipulating the node pointers accordingly.
Linked List Static and Dynamic Memory AllocationProf Ansari
Static variables are declared and named while writing the program. (Space for them exists as long as the program, in which they are declared, is running.) Static variables cannot be created or destroyed during execution of the program in which they are declared.
Dynamic variables are created (and may be destroyed) during program execution since dynamic variables do not exist while the program is compiled, but only when it is run, they cannot be assigned names while it is being written. The only way to access dynamic variables is by using pointers. Once it is created, however, a dynamic variable does contain data and must have a type like any other variable. If a dynamic variable is created in a function, then it can continue to exist even after the function terminates.
Linked Linear List
We saw in previous chapters how static representation of linear ordered list through Array leads to wastage of memory and in some cases overflows. Now we don't want to assign memory to any linear list in advance instead we want to allocate memory to elements as they are inserted in list. This requires Dynamic Allocation of memory and it can be achieved by using malloc() or calloc() function.
But memory assigned to elements will not be contiguous, which is a requirement for linear ordered list, and was provided by array representation. How we could achieve this?
This document discusses linked lists and their implementation. It begins by defining a list as a sequence of zero or more elements of a given type that can be linearly ordered. Linked lists are introduced as a flexible data structure that uses nodes connected by pointers to dynamically allocate elements in memory. The key operations on linked lists are described, including appending, traversing, inserting, deleting nodes. Code examples are provided to implement these operations using a ListNode struct containing a data element and pointer to the next node. Functions like appendNode and displayList are demonstrated, with appendNode adding to the end of the list and displayList traversing the list to output each element.
The document discusses linked lists and their advantages over arrays. It defines a linked list as a linear data structure composed of nodes, where each node contains data and a pointer to the next node. The key points are:
- Linked lists have dynamic sizes while arrays are fixed. Inserting and deleting from linked lists is more efficient as it doesn't require shifting elements.
- Linked lists don't allow random access so operations like sorting are less efficient, while arrays don't waste space if fully filled.
- The document then describes the basic operations on a singly linked list like creation, insertion, deletion and searching and provides algorithms to implement these operations.
This document discusses doubly linked lists. A doubly linked list is a list where each node contains a pointer to the next node and previous node. This allows traversal in both directions. The document explains how to implement a doubly linked list using a struct with next and previous pointers. It covers insertion, deletion, searching, and printing nodes in a doubly linked list by traversing forwards and backwards. Key operations like adding a node to the beginning, middle or end of the list are demonstrated along with deleting nodes and freeing memory.
The document describes a doubly linked list data structure. Each node in a doubly linked list contains pointers to both the next and previous nodes, allowing traversal in either direction. Common operations on doubly linked lists include inserting and deleting nodes at the beginning, end, or anywhere in the list. Pseudocode algorithms are provided to demonstrate how to implement these operations by updating the pointer references between nodes.
This document contains a presentation on linked lists. It includes:
1. An introduction to linked lists describing their representation using linked allocation and algorithms for inserting and deleting nodes.
2. Algorithms for inserting a node at the first, last, and ordered positions in a single linked list, as well as deleting a node and copying a linked list.
3. A section on linear linked list multiple choice questions.
The document discusses linked lists, including their definition as a dynamic linear data structure composed of connected nodes where each node contains a data element and a pointer, common operations on linked lists such as traversal, insertion, and deletion, and variations like single vs. double linked lists and circular lists. Algorithms for searching, inserting, and deleting nodes from a singly linked list are presented along with advantages of linked lists over arrays for dynamic data structures.
Doubly Linked List || Operations || AlgorithmsShubham Sharma
Doubly linked list and operations on it. Insertion, Deletion, Traversing at all locations- First, Last, Middle.
Basic definitions and structured example.
Algorithms for all the operations.
The document discusses linked lists as an alternative to arrays for storing data in memory. Linked lists allow for easy insertion and removal of nodes anywhere in the list by using pointers to link nodes together rather than storing them in contiguous memory blocks. The key aspects of linked lists covered are the node structure containing data and a pointer to the next node, initializing an empty list, traversing the list, and common operations like insertion and deletion at different positions. Different types of linked lists are also introduced.
- A linked list is a data structure where each node contains a data field and a pointer to the next node.
- It allows dynamic size and efficient insertion/deletion compared to arrays.
- A doubly linked list adds a pointer to the previous node, allowing traversal in both directions.
- A circular linked list connects the last node back to the first node, making it a continuous loop.
- Variations require changes to the node structure and functions like append/delete to handle the added previous/next pointers.
The document discusses double and circular linked lists. It covers inserting and deleting nodes from doubly linked lists and circular linked lists. Specifically, it describes how to insert nodes at different positions in a doubly linked list, such as at the front, after a given node, at the end, and before a given node. It also explains how to delete nodes from a doubly linked list. For circular linked lists, it outlines how to insert nodes in an empty list, at the beginning, at the end, and between nodes. It also provides the steps to delete nodes from a circular linked list.
- Circular linked lists connect the last node to the first node to allow continuous traversal of the list.
- A circular linked list can use a header node or external pointer to mark the beginning of the list. The header node's data can indicate it is the header.
- Primitive functions like insertion and deletion work similarly in circular and linear lists, except a circular list must check for the empty list case of a single node pointing to itself.
Array implementation and linked list as datat structureTushar Aneyrao
The document discusses arrays and linked lists. It defines arrays as collections of elements of the same data type stored in contiguous memory. Linked lists store elements in memory locations that are not contiguous. Each element of a linked list contains a data field and a pointer to the next node. This allows for efficient insertion and deletion of nodes compared to arrays. The document provides examples of implementing common linked list operations like insertion at the head, tail, and deletion.
linked list
singly linked list
insertion in singly linked list
DELETION IN SINGLY LINKED LIST
Searching a singly linked list
Doubly Linked List
insertion from Doubly linked list
DELETION from Doubly LINKED LIST
Searching a doubly linked list
Circular linked list
Linked lists are a linear data structure composed of nodes where each node contains data and a link to the next node. There are several types of linked lists including single and double linked lists. Basic operations on linked lists include creation, insertion, deletion, traversal, and searching. Insertion can be done at the beginning, end, or after a particular node. Deletion can remove the first, last, or intermediate nodes. Linked lists allow dynamic memory allocation and efficient insertion/deletion compared to arrays. However, linked lists use more storage space than arrays. Linked lists are used in many data structures and applications like polynomial manipulation and representing trees, stacks and queues.
1) Doubly linked lists contain nodes with pointers to both the previous and next nodes, allowing traversal in either direction.
2) Common operations on doubly linked lists include insertion and deletion at the beginning, end, or within the list by node value.
3) Insertion and deletion have some special cases to handle when the target node is the first, last, or only node in the list.
A circular linked list is a variation of a linked list where the last element points to the first element, forming a circle. This can be done for both singly and doubly linked lists. Basic operations like insertion, deletion, and traversal can be performed on a circular linked list in a similar way as a regular linked list by taking into account the circular nature when reaching the end of the list. Code examples are provided to demonstrate how to insert a node at the beginning, delete the first node, and print the list for a singly linked circular list.
This document discusses circular linked lists. It defines a circular linked list as a data structure where the last node's next pointer points to the first node, creating a circular connection between nodes. The document covers creating and implementing operations like insertion and deletion on circular linked lists. It notes advantages like easy traversal between first and last nodes and disadvantages like difficulty reversing the list. Examples of applications include round robin scheduling and chit funds.
Link list presentation slide(Daffodil international university)shah alom
The document summarizes information about linked lists, including:
- Linked lists are linear collections of data elements called nodes connected by pointers.
- There are single linked lists, double linked lists, and circular linked lists.
- Traversing a single linked list involves iterating through each node using the next pointer.
- Insertion can occur at the beginning, end, or middle of a list by creating a new node and adjusting pointers.
- Deletion involves removing a node by adjusting pointers of the previous and next nodes.
- A basic node implementation uses a struct with a data field and next pointer.
Dokumen tersebut memberikan penjelasan mengenai konsep dasar data mining klasifikasi, proses klasifikasi menggunakan algoritma Naive Bayes, serta contoh kasus klasifikasi menggunakan atribut usia, pendapatan, pekerjaan, dan punya deposito atau tidak.
A doubly linked list allows traversal in both directions by storing references to both the next and previous nodes. Each node contains two references - a next link pointing to the next node and a prev link pointing to the previous node. This allows for quick insertion and removal at both ends as well as the middle of the list. Sentinel nodes are added at the beginning and end to simplify programming, with the header pointing forward and the trailer pointing backward.
The document discusses linked lists and their advantages over arrays. It defines a linked list as a linear data structure composed of nodes, where each node contains data and a pointer to the next node. The key points are:
- Linked lists have dynamic sizes while arrays are fixed. Inserting and deleting from linked lists is more efficient as it doesn't require shifting elements.
- Linked lists don't allow random access so operations like sorting are less efficient, while arrays don't waste space if fully filled.
- The document then describes the basic operations on a singly linked list like creation, insertion, deletion and searching and provides algorithms to implement these operations.
This document discusses doubly linked lists. A doubly linked list is a list where each node contains a pointer to the next node and previous node. This allows traversal in both directions. The document explains how to implement a doubly linked list using a struct with next and previous pointers. It covers insertion, deletion, searching, and printing nodes in a doubly linked list by traversing forwards and backwards. Key operations like adding a node to the beginning, middle or end of the list are demonstrated along with deleting nodes and freeing memory.
The document describes a doubly linked list data structure. Each node in a doubly linked list contains pointers to both the next and previous nodes, allowing traversal in either direction. Common operations on doubly linked lists include inserting and deleting nodes at the beginning, end, or anywhere in the list. Pseudocode algorithms are provided to demonstrate how to implement these operations by updating the pointer references between nodes.
This document contains a presentation on linked lists. It includes:
1. An introduction to linked lists describing their representation using linked allocation and algorithms for inserting and deleting nodes.
2. Algorithms for inserting a node at the first, last, and ordered positions in a single linked list, as well as deleting a node and copying a linked list.
3. A section on linear linked list multiple choice questions.
The document discusses linked lists, including their definition as a dynamic linear data structure composed of connected nodes where each node contains a data element and a pointer, common operations on linked lists such as traversal, insertion, and deletion, and variations like single vs. double linked lists and circular lists. Algorithms for searching, inserting, and deleting nodes from a singly linked list are presented along with advantages of linked lists over arrays for dynamic data structures.
Doubly Linked List || Operations || AlgorithmsShubham Sharma
Doubly linked list and operations on it. Insertion, Deletion, Traversing at all locations- First, Last, Middle.
Basic definitions and structured example.
Algorithms for all the operations.
The document discusses linked lists as an alternative to arrays for storing data in memory. Linked lists allow for easy insertion and removal of nodes anywhere in the list by using pointers to link nodes together rather than storing them in contiguous memory blocks. The key aspects of linked lists covered are the node structure containing data and a pointer to the next node, initializing an empty list, traversing the list, and common operations like insertion and deletion at different positions. Different types of linked lists are also introduced.
- A linked list is a data structure where each node contains a data field and a pointer to the next node.
- It allows dynamic size and efficient insertion/deletion compared to arrays.
- A doubly linked list adds a pointer to the previous node, allowing traversal in both directions.
- A circular linked list connects the last node back to the first node, making it a continuous loop.
- Variations require changes to the node structure and functions like append/delete to handle the added previous/next pointers.
The document discusses double and circular linked lists. It covers inserting and deleting nodes from doubly linked lists and circular linked lists. Specifically, it describes how to insert nodes at different positions in a doubly linked list, such as at the front, after a given node, at the end, and before a given node. It also explains how to delete nodes from a doubly linked list. For circular linked lists, it outlines how to insert nodes in an empty list, at the beginning, at the end, and between nodes. It also provides the steps to delete nodes from a circular linked list.
- Circular linked lists connect the last node to the first node to allow continuous traversal of the list.
- A circular linked list can use a header node or external pointer to mark the beginning of the list. The header node's data can indicate it is the header.
- Primitive functions like insertion and deletion work similarly in circular and linear lists, except a circular list must check for the empty list case of a single node pointing to itself.
Array implementation and linked list as datat structureTushar Aneyrao
The document discusses arrays and linked lists. It defines arrays as collections of elements of the same data type stored in contiguous memory. Linked lists store elements in memory locations that are not contiguous. Each element of a linked list contains a data field and a pointer to the next node. This allows for efficient insertion and deletion of nodes compared to arrays. The document provides examples of implementing common linked list operations like insertion at the head, tail, and deletion.
linked list
singly linked list
insertion in singly linked list
DELETION IN SINGLY LINKED LIST
Searching a singly linked list
Doubly Linked List
insertion from Doubly linked list
DELETION from Doubly LINKED LIST
Searching a doubly linked list
Circular linked list
Linked lists are a linear data structure composed of nodes where each node contains data and a link to the next node. There are several types of linked lists including single and double linked lists. Basic operations on linked lists include creation, insertion, deletion, traversal, and searching. Insertion can be done at the beginning, end, or after a particular node. Deletion can remove the first, last, or intermediate nodes. Linked lists allow dynamic memory allocation and efficient insertion/deletion compared to arrays. However, linked lists use more storage space than arrays. Linked lists are used in many data structures and applications like polynomial manipulation and representing trees, stacks and queues.
1) Doubly linked lists contain nodes with pointers to both the previous and next nodes, allowing traversal in either direction.
2) Common operations on doubly linked lists include insertion and deletion at the beginning, end, or within the list by node value.
3) Insertion and deletion have some special cases to handle when the target node is the first, last, or only node in the list.
A circular linked list is a variation of a linked list where the last element points to the first element, forming a circle. This can be done for both singly and doubly linked lists. Basic operations like insertion, deletion, and traversal can be performed on a circular linked list in a similar way as a regular linked list by taking into account the circular nature when reaching the end of the list. Code examples are provided to demonstrate how to insert a node at the beginning, delete the first node, and print the list for a singly linked circular list.
This document discusses circular linked lists. It defines a circular linked list as a data structure where the last node's next pointer points to the first node, creating a circular connection between nodes. The document covers creating and implementing operations like insertion and deletion on circular linked lists. It notes advantages like easy traversal between first and last nodes and disadvantages like difficulty reversing the list. Examples of applications include round robin scheduling and chit funds.
Link list presentation slide(Daffodil international university)shah alom
The document summarizes information about linked lists, including:
- Linked lists are linear collections of data elements called nodes connected by pointers.
- There are single linked lists, double linked lists, and circular linked lists.
- Traversing a single linked list involves iterating through each node using the next pointer.
- Insertion can occur at the beginning, end, or middle of a list by creating a new node and adjusting pointers.
- Deletion involves removing a node by adjusting pointers of the previous and next nodes.
- A basic node implementation uses a struct with a data field and next pointer.
Dokumen tersebut memberikan penjelasan mengenai konsep dasar data mining klasifikasi, proses klasifikasi menggunakan algoritma Naive Bayes, serta contoh kasus klasifikasi menggunakan atribut usia, pendapatan, pekerjaan, dan punya deposito atau tidak.
A doubly linked list allows traversal in both directions by storing references to both the next and previous nodes. Each node contains two references - a next link pointing to the next node and a prev link pointing to the previous node. This allows for quick insertion and removal at both ends as well as the middle of the list. Sentinel nodes are added at the beginning and end to simplify programming, with the header pointing forward and the trailer pointing backward.
Each node in a doubly linked list contains two pointers - one pointing to the next node and one pointing to the previous node. This allows traversal in both directions through the list. A doubly linked list supports common operations like insertion and deletion at both ends of the list as well as anywhere in the list by updating the relevant pointer fields of the nodes. While requiring more space per node, doubly linked lists allow easy traversal backwards through the list and reversing of the list.
A doubly linked list is a linked list where each node contains a link to the next node and the previous node. This allows traversal in both directions. Each node contains data and pointers to the next and previous nodes. The head node's previous pointer points to null and the tail node's next pointer points to null. Methods like addElementFront(), addElementRear(), and deleteElement() are used to add and remove nodes from the list. Compared to a singly linked list, a doubly linked list requires updating more pointers but provides the ability to traverse backwards through the list.
This short document provides instructions for reducing unwanted LinkedIn update emails that fill up users' inboxes. It outlines a 3 step process for adjusting LinkedIn settings to only receive emails the user wants by going to the settings page and adjusting notification preferences.
Ryanair has utilized several key strategies to become Europe's largest low-cost carrier. These include maintaining a laser focus on cost containment, operating frequent point-to-point flights on short-haul routes, and maximizing ancillary revenue sources. Ryanair keeps costs low by operating efficiently from secondary airports and maintaining a young, fuel-efficient fleet. The strategy has proven highly sustainable due to Ryanair's continued growth and profitability, though recommendations include increasing flight frequencies and opening new routes to drive further expansion.
Migrating IBM Cloud Orchestrator environment from v2.4.0.2 to v2.5.0.1Paulraj Pappaiah
The document outlines the steps to migrate an IBM Cloud Orchestrator environment from version 2.4.0.2 to 2.5.0.1. The key steps include: 1) checking prerequisites and discovering the topology, 2) migrating images between the systems, 3) exporting OpenStack data from the original system, 4) importing the data into the new IBM Cloud Manager, and 5) verifying the migrated resources on both systems and ensuring resources are no longer available on the original system.
Static arrays are collections of data elements of the same type that can be accessed via indexes. They are declared in memory with a fixed size. Static arrays can be declared as variables, user-defined types, constants, or records. Common operations on static arrays include creation, traversal, searching, sorting, and destruction. Popular sorting algorithms for static arrays include merge sort, insertion sort, radix sort, quick sort, and shell sort.
This document describes an implementation of a stack data structure using a single linked list in C. It includes functions to push elements onto the stack, pop elements off the stack, and display the elements currently in the stack. The main function contains a menu loop that calls these functions based on user input and exits when the user selects option 4.
A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions.
The document discusses linked lists and their implementation. It covers topics like:
- Types of linked lists including singly linked, doubly linked, circular linked lists
- Operations on linked lists like traversal, insertion, deletion
- Header linked lists that use a header node for simplifying operations
- Two-way or doubly linked lists that allow traversal in both directions
- Algorithms for common linked list operations like insertion, deletion at different positions
A linked list is a data structure where each node contains a data field and a reference to the next node. The head node points to the first node, and nodes are connected through next references. Linked lists allow for efficient insertions and deletions compared to arrays. Common types include singly linked, doubly linked, circular singly linked, and circular doubly linked lists. Operations on linked lists include insertion, deletion, and searching.
The document discusses different types of queues and linked lists. It provides descriptions and examples of:
- FIFO queues and their static and dynamic representations using arrays and linked lists
- Priority queues and their implementations
- Circular queues and their operations
- Linked list types including singly linked, doubly linked, and circular linked lists
- Common operations on each like insertion, deletion, and traversal
In computer science, a linked list is a linear collection of data elements, in which linear order is not given by their physical placement in memory. Instead, each element points to the next
Singly linked lists, doubly linked lists, and circular linked lists are types of linked data structures. Singly linked lists contain nodes with a data field and a next pointer. Doubly linked lists contain additional previous pointers. Circular linked lists connect the last node to the first node, making the list cyclic. Pseudocode is provided for common linked list operations like insertion, deletion, searching, on different positions in the lists.
Linked lists are a linear data structure where each element (called a node) contains data and a pointer to the next node. This allows for efficient traversal and insertion/deletion throughout the list. A singly linked list is the simplest type, where each node only points to the next node and the last node points to NULL. Common operations on linked lists include traversing the entire list using a single pointer, searching for a node by its data, and inserting/deleting nodes from the beginning, end, or after a specified node.
Linked lists are linear data structures where elements are linked using pointers. The three main types are singly, doubly, and circular linked lists. Linked lists allow dynamic memory allocation and fast insertion/deletion compared to arrays but slower access. A linked list contains nodes, each with a data field and pointer to the next node. Basic operations on linked lists include insertion, deletion, traversal, and search. Doubly linked lists include pointers to both the next and previous nodes.
This document discusses the implementation of a single linked list data structure. It describes the nodes that make up a linked list, which have an info field to store data and a next field pointing to the next node. The document outlines different ways to represent linked lists, including static arrays and dynamic pointers. It also provides algorithms for common linked list operations like traversing, inserting, and deleting nodes from the beginning, end, or a specified position within the list.
This presentation covers data structures including arrays, linked lists, and stacks. It discusses array types (one and multi-dimensional), linked list types (singly, doubly, circular), and common operations for each. Stack operations like push, pop, peek and applications for infix, prefix, postfix notation conversion are also explained with examples. Code snippets are provided for array traversal, insertion, deletion as well as linked list creation, insertion, deletion and traversal.
The document discusses different types of linked lists, including singly linked lists, doubly linked lists, and circularly linked lists. It provides code examples for implementing linked lists in C++ and compares the time complexity of different linked list operations. It also describes how a circularly linked list can be used to solve the Josephus problem of eliminating people seated in a circle.
This document provides information about linked lists. It defines a linked list as a linear data structure where nodes are linked using pointers. Each node contains a data field and a pointer to the next node. It compares linked lists to arrays, noting that linked lists can dynamically allocate memory as needed, while arrays have fixed sizes. It describes the two main types of linked lists - singly linked and doubly linked. It provides examples of basic linked list operations like insertion, deletion and traversal for both singly and doubly linked lists. It also discusses some applications of linked lists like implementing stacks, queues and representing polynomials.
This document discusses representations of sparse matrices using linked lists. It explains that sparse matrices, which contain mostly zero values, can be stored more efficiently using a triplet representation or linked representation rather than a standard 2D array. The triplet representation stores only the non-zero elements, their row and column indices, and matrix size information. It provides an example of a 4x5 sparse matrix represented as a triplet array with 6 non-zero elements. Linked representation stores the sparse matrix as a linked list, where each node contains the row, column and value of a non-zero element. Applications of sparse matrix representations include storing large sparse datasets efficiently.
Write a JAVA LinkedListRec class that has the following methods siz.pdfinfo785431
Write a JAVA LinkedListRec class that has the following methods: size, empty, insertBefore,
insertAfter, addAtHead, addAtEnd, remove, replace, peekFront, peekEnd, removeFront,
removeEnd, toString. Use recursion to implement most of these methods. Write a driver to test
your implemented LinkedListRec class methods.
Solution
import java.util.Scanner;
public class LinkedListRec {
int data;
LinkedListRec prev=null,next=null;
int size(LinkedListRec l)//method which returns the length of the list
{
if(l==null)return 0;
return 1+size(l.next);
}
boolean empty(LinkedListRec l)//method checks whether the list is empty or not...
{
if(l==null)return true;
else return false;
}
LinkedListRec insertBefore(LinkedListRec l,int value,int num_insertbefore)//method which
adds a new number before the given number..
{
if(l==null)return l;
if(l.data == num_insertbefore)
{
LinkedListRec n = new LinkedListRec();
n.data = value;
if(l.prev==null)
{
n.next = l;
l=n;
}
else
{
n.prev = l.prev;
n.next= l;
l.prev = n;
}
return l;
}
return insertBefore(l.next,value,num_insertbefore);
}
LinkedListRec insertAfter(LinkedListRec l,int value,int num_insertafter)//method which adds
the new number after the given number
{
if(l==null)return l;
if(l.data == num_insertafter)
{
LinkedListRec n = new LinkedListRec();
n.data = value;
if(l.next==null)
{
l.next = n;
n.prev = l;
}
else
{
n.next = l.next;
l.next.prev = n;
n.prev = l;
}
return l;
}
return insertAfter(l.next,value,num_insertafter);
}
LinkedListRec addAtHead(LinkedListRec l,int value)//method which adds a new number at
the head position of the list...
{
LinkedListRec n = new LinkedListRec();
n.data=value;
n.next = l;
l=n;
return l;
}
LinkedListRec addAtEnd(LinkedListRec l,int value)//method which adds a new number at
the end position of the list...
{
if(l==null){ l = new LinkedListRec();l.data = value;return l;}
if(l.next==null)
{
LinkedListRec n = new LinkedListRec();
n.data=value;
n.prev = l;
l.next = n;
return l;
}
return addAtEnd(l.next,value);
}
LinkedListRec remove(LinkedListRec l,int value)//method which removes given numbet
from the list....
{
if(l==null)return l;
if(l.data == value)
{
if(l.prev!=null){
l.prev = l.next;
}
else
l=l.next;
return l;
}
return remove(l.next,value);
}
boolean replace(LinkedListRec l,int value,int newvalue)//method which replaces current
number with new number,...
{
if(l==null)return false;
if(l.data == value)
{
l.data = newvalue;
return true;
}
return replace(l.next,value,newvalue);
}
int peekFront(LinkedListRec l)//method which returns the first value of the list...
{
if(l!=null)
return l.data;
else return -1;
}
int peekEnd(LinkedListRec l)//method which returns the last value of the list........
{
if(l==null)return -1;
if(l.next == null)return l.data;
return peekEnd(l.next);
}
LinkedListRec removeFront(LinkedListRec l)//method which removes the first element of the
list..
{
if(l==null)return l;
l=l.next;
return l;
}
boolean removeEnd(LinkedListRec l)//method which removes the last element o.
Linked lists are a data structure made up of connected nodes, where each node contains data and a pointer to the next node. The three basic operations on linked lists are insertion, deletion, and traversal of nodes. There are variations like circular linked lists where the last node points to the first, and doubly linked lists where each node points to both the next and previous nodes. Linked lists have advantages over arrays in that they are dynamically sized and nodes can be easily inserted and deleted without moving other elements.
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3. Linked list that its node consists of two
connection fields (prev and next).
Double Linked List
Info Field
(Info)
Right Connection Field
(Next)
Left Connection Field
(Prev)
10. • If list is empty (awal = nil).
Front Insertion
awal akhir
baru 1
akhir baru
awal baru
baru↑.info 1
baru↑.next nil
baru↑.prev nil
alloc(baru)
11. • If list isn’t empty (awal ≠ nil). For example,
there is list that has two nodes:
Front Insertion (cont’d)
awal
2 3
akhir
baru 1
alloc(baru)
baru↑.info 1
baru↑.prev nil
13. The last result for front insertion if linked list
wasn’t empty:
Front Insertion (cont’d)
2 3
akhir
1
awalbaru
14. • If list is empty (awal = nil) the
process is same as front
insertion if double linked
list is empty.
Back Insertion
15. • If list isn’t empty (awal ≠ nil). For example,
there is list that has two nodes:
Back Insertion (cont’d)
awal
2 3
akhir
baru 1
alloc(baru)
baru↑.info 1
baru↑.next nil
16. New node will be inserted after the node that
was refered by akhir.
Back Insertion (cont’d)
baru
awal
2 3
akhir
1
baru↑.prev akhir
akhir↑.next baru
akhir baru
17. The last result for back insertion if linked list
wasn’t empty:
Back Insertion (cont’d)
baru
2 3
1
awal akhirawal
2 3
akhir
1
18. • If list is empty (awal = nil) the
process is same as front
insertion if linked list is
empty.
Middle Insertion
19. • If list isn’t empty (awal ≠ nil).
Middle Insertion (cont’d)
Node 4 will be inserted before 9:
Awal
5 97
Akhir
10
Awal
5 97
Akhir
10
bantu
20. Middle Insertion (cont’d)
baru 4
alloc(baru)
baru↑.info 4
baru↑.next bantubaru↑.prev bantu↑.prev
Awal
5 97
Akhir
10
bantu
24. • Delete one node in beggining of linked list if
linked list has only one node (awal = akhir).
Front Deletion
phapus awal
Awal
Akhir
2
Awal
Akhir
2
Awal
Akhir
elemen phapus↑.info
awal nil
akhir nil
dealloc(phapus)
menjadi
25. If deletion happens in linked list with one node
then linked list will be empty.
Front Deletion (cont’d)
2 4 5 9
Awal Akhir
phapus awal
phapus
elemen phapus↑.info
elemen
28. The last result for front deletion if linked list has
more than one node:
Front Deletion (cont’d)
4 5 9
Awal Akhir
4 5 9
Akhir
phapus 2
Awal
29. • Delete one node in back of linked list if
linked list has only one node (awal = akhir).
This process is same as front
deletion if linked list has
only one node.
Back Deletion
30. • If linked list has more than one node (awal ≠
akhir). For example, linked list has four
nodes.
Back Deletion (cont’d)
2 4 5 9
Awal Akhir
phapus akhir
phapus
elemen phapus↑.info elemen