Lect 11-12 Zaheer Abbas
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The document discusses linked list data structures and common operations performed on linked lists such as traversing, searching, insertion, and deletion. It provides algorithms to perform each operation. For traversing, the algorithm uses a pointer PTR that moves from node to node, printing the info of each node. For searching, the algorithm traverses and compares the info of each node to the search item. Insertion can occur at the beginning or between nodes. Deletion can occur at the beginning, between nodes, or at the end of the list.
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The document discusses different types of linked lists including:
- Singly linked lists that can only be traversed in one direction.
- Doubly linked lists that allow traversal in both directions using forward and backward pointers.
- Circular linked lists where the last node points back to the first node allowing continuous traversal.
- Header linked lists that include a header node at the beginning for simplified insertion and deletion. Header lists can be grounded where the last node contains a null pointer or circular where the last node points to the header.
- Two-way or doubly linked lists where each node contains a forward and backward pointer allowing bidirectional traversal through the list.
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- Counting sort and radix sort can run in O(n) time by avoiding comparisons, but have additional requirements on the key range.
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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.
Singly link list
A singly linked list is a linear data structure composed of nodes, where each node contains a data element and a link to the next node. The first node is referenced by a pointer called the head. Each node's link points to the next node in the list, with the last node's link pointing to null. Operations like insertion and deletion on singly linked lists can be performed by updating the links between nodes in constant time regardless of the list's size.
Data structure using c module 3
This slides contains the descriptions of Searching Techniques, Sorting Techniques and Hashing Techniques
Ppt of operations on one way link list
This document discusses various operations that can be performed on one-way linked lists including traversing, searching, inserting, deleting, copying, merging, and splitting linked lists. It provides algorithms and explanations for each operation using diagrams and pseudocode. Key points covered include inserting and deleting nodes from the beginning, end, or a particular position of a linked list, as well as merging two sorted linked lists into a single sorted list.
Unit III Version I.pptx
The document discusses various sorting and searching algorithms. It begins by introducing selection sort, insertion sort, and bubble sort. It then covers merge sort and explains how it works by dividing the list, sorting sublists recursively, and merging the results. Finally, it discusses linear/sequential search and binary search, noting that sequential search checks every element while binary search repeatedly halves the search space.
Linked lists a
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
linkrd_list.pdf
Linked lists are a data structure that store elements non-contiguously in memory. Each element, called a node, contains data and a pointer to the next node. There are several types of linked lists including singly linked lists where each node has a next pointer, doubly linked lists where each node has next and previous pointers, and circular linked lists where the last node points to the first. Common operations on linked lists include traversing, inserting nodes, deleting nodes, and searching for elements. Insertion and deletion have lower time complexity than arrays since they only require updating pointers rather than shifting elements.
Sorting
Insertion sort and merge sort are discussed. Insertion sort works by inserting elements in the proper position one by one. Its worst case time is O(N^2). Merge sort uses a divide and conquer approach to sort elements. It divides the list into halves, recursively sorts the halves, and then merges the sorted halves. Merging two sorted lists takes linear time. The overall time for merge sort is O(N log N). Heaps are discussed as a way to implement priority queues. A heap has the heap property where a node is always less than its children. This allows finding the minimum element and deleting it to take O(log N) time.
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Lect 11-12 Zaheer Abbas
- 1. Created by Zaheer Abbas Aghani
- 2. Data Structure & Algorithms ITC-306 Lecture 11 &12
- 3. REPRESENTATION OF LINKED LIST IN MEMORY A P P L E START 1 2 3 4 5 6 7 8 START 6 A P P L E 2 1 7 4 0 INFO LINK INVALID ADDRESS LINKED LIST ENDS