This document discusses linked lists and their operations. It begins with an introduction to linked lists and their types. It then covers the representation of linked lists, various operations on linked lists like insertion, deletion, traversal, and comparisons with arrays. It discusses different types of linked lists like single, double, circular single and circular double linked lists. It provides algorithms for common linked list operations like insertion and deletion on single and double linked lists.
The document discusses circular linked lists, including that they have no null pointer at the end as the last node is linked to the first, and describes operations like insertion and deletion from the beginning, end, or a specific position in constant time by adjusting the next pointers; it provides pseudocode for inserting a new node at different positions in a circular linked list and deleting nodes from the beginning, end, or a specific position.
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.
Linked list and its operations - Traversalkasthurimukila
The document discusses linked lists and operations performed on singly linked lists. It defines a linked list as a data structure containing nodes that point to the next node in the list. Singly linked lists contain nodes with a data field and pointer to the next node. Common operations on singly linked lists include traversing the list, inserting and deleting nodes from different positions, searching for a node, sorting list elements, and merging two linked lists.
This document provides information on linked lists. Some key points:
- A linked list is a dynamic data structure where elements are linked using pointers. Each element contains a data field and a pointer to the next node.
- There are different types of linked lists including singly linked, doubly linked, circular, and circular doubly linked lists.
- Common linked list operations include insertion, deletion, traversal, searching, and sorting. Algorithms for performing these operations on singly linked lists are presented.
- Linked lists can be used to implement other data structures like stacks, where the top element is tracked using a pointer instead of using array indices. Pseudocode for push and pop operations on a linked list implementation of
This document discusses different operations on linked lists such as insertion, deletion, and traversal. It begins with an introduction to linked lists explaining that each node contains a data field and pointer to the next node. It then covers implementing a basic node structure and various functions like creating a new node, adding a node to the beginning or end of the list, and deleting a node from the beginning, end, or a given position. Traversal and keeping track of previous nodes is important for operations like deletion from within the list. The document provides pseudocode to demonstrate common linked list operations.
A linked list is a sequence of data structures, which are connected together via links.
Linked List is a sequence of links which contain items. Each link contains a connection to another link. Linked list is the second most-used data structure after the array.
Linked List Presentation in data structurepptxnikhilcse1
This document discusses linked lists, including:
- Linked lists store elements in nodes that point to the next node, with each node containing data and a pointer.
- There are different types of linked lists like singly, doubly, and circular linked lists.
- Linked lists allow dynamic memory allocation and efficient insertion/deletion compared to arrays.
- Basic operations on linked lists include insertion, traversal, and deletion through manipulating the pointers between nodes.
- Linked lists have applications in implementing stacks, queues, and hash tables.
The document discusses circular linked lists, including that they have no null pointer at the end as the last node is linked to the first, and describes operations like insertion and deletion from the beginning, end, or a specific position in constant time by adjusting the next pointers; it provides pseudocode for inserting a new node at different positions in a circular linked list and deleting nodes from the beginning, end, or a specific position.
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.
Linked list and its operations - Traversalkasthurimukila
The document discusses linked lists and operations performed on singly linked lists. It defines a linked list as a data structure containing nodes that point to the next node in the list. Singly linked lists contain nodes with a data field and pointer to the next node. Common operations on singly linked lists include traversing the list, inserting and deleting nodes from different positions, searching for a node, sorting list elements, and merging two linked lists.
This document provides information on linked lists. Some key points:
- A linked list is a dynamic data structure where elements are linked using pointers. Each element contains a data field and a pointer to the next node.
- There are different types of linked lists including singly linked, doubly linked, circular, and circular doubly linked lists.
- Common linked list operations include insertion, deletion, traversal, searching, and sorting. Algorithms for performing these operations on singly linked lists are presented.
- Linked lists can be used to implement other data structures like stacks, where the top element is tracked using a pointer instead of using array indices. Pseudocode for push and pop operations on a linked list implementation of
This document discusses different operations on linked lists such as insertion, deletion, and traversal. It begins with an introduction to linked lists explaining that each node contains a data field and pointer to the next node. It then covers implementing a basic node structure and various functions like creating a new node, adding a node to the beginning or end of the list, and deleting a node from the beginning, end, or a given position. Traversal and keeping track of previous nodes is important for operations like deletion from within the list. The document provides pseudocode to demonstrate common linked list operations.
A linked list is a sequence of data structures, which are connected together via links.
Linked List is a sequence of links which contain items. Each link contains a connection to another link. Linked list is the second most-used data structure after the array.
Linked List Presentation in data structurepptxnikhilcse1
This document discusses linked lists, including:
- Linked lists store elements in nodes that point to the next node, with each node containing data and a pointer.
- There are different types of linked lists like singly, doubly, and circular linked lists.
- Linked lists allow dynamic memory allocation and efficient insertion/deletion compared to arrays.
- Basic operations on linked lists include insertion, traversal, and deletion through manipulating the pointers between nodes.
- Linked lists have applications in implementing stacks, queues, and hash tables.
This document discusses linked lists and provides details about singly linked lists and doubly linked lists. It defines linked lists as data structures made up of nodes that are linked together via pointers. Singly linked lists have pointers to the next node only, while doubly linked lists have pointers to both the next and previous nodes. The document outlines common operations for each like insertion, deletion, and display and provides pseudocode for implementing these operations.
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.
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.
The document provides information on linked lists including:
- Linked lists are a linear data structure where each node contains data and a pointer to the next node.
- They allow for dynamic memory allocation and easier insertion/deletion than arrays.
- Common types include singly linked, doubly linked, circular singly/doubly linked lists.
- The document describes creating linked lists in C using structures, and operations like insertion, deletion, searching.
The document discusses linked lists and their basic operations. It defines a linked list as a series of connected nodes where each node contains a data element and a pointer to the next node. The basic operations of linked lists include inserting nodes, finding or deleting nodes by value, and traversing the list. It also discusses different types of linked lists like singly linked lists, doubly linked lists, and circular linked lists. The document explains how to implement operations like insertion, deletion, and traversal in detail with examples.
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 document provides information on various operations that can be performed on linked lists, including inserting, deleting, searching, sorting, and reversing nodes. It begins by explaining how to create a basic linked list with three nodes by allocating memory for each node, assigning data values, and connecting the nodes. It then discusses functions for inserting nodes at the beginning, middle, or end of the list. Other operations covered include traversing the list, deleting nodes, searching for a value, sorting nodes, and reversing the order of nodes. Code examples are provided for many of the operations.
The document discusses linked lists and their implementation in C. It defines linked lists as dynamic data structures that store data in nodes linked together via pointers. The key operations on linked lists include insertion and deletion of nodes, as well as traversing and searching the list. It describes implementing linked lists as singly linked lists, doubly linked lists, and circular linked lists. Functions are provided for basic linked list operations like insertion, deletion, display on singly linked lists, and implementations of stacks and queues using linked lists.
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.
The document discusses various types of linked lists including circular linked lists, linked implementation of stacks and queues, and applications of linked lists. Circular linked lists form a closed loop where the last node points to the first node. Linked stacks and queues can be implemented using linked lists which allows dynamic memory allocation instead of fixed size arrays. Applications of linked lists include representing polynomials for arithmetic operations, adding long integers, and non-integer/heterogeneous lists.
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.
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.
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 arrays and linked lists. It provides information on:
- What arrays and linked lists are and how they are used to store data in memory. Arrays use indexes to access data while linked lists use nodes connected through pointers.
- Common operations for each including insertion, deletion, and searching. For arrays this includes shifting elements, while for linked lists it involves manipulating the pointers between nodes.
- Specific implementation details for single linked lists, including defining node structures and performing operations at different points in the list.
This document discusses linked lists and representing stacks and queues using linked lists. It provides information on different types of linked lists including singly, doubly, and circular linked lists. It describes inserting, deleting, and traversing nodes in a singly linked list. It also provides a C program example to implement a stack using a linked list with functions for push, pop, and display operations. The document discusses how linked lists are dynamic data structures that can grow and shrink in size as needed, unlike arrays.
Linked lists are dynamic data structures that can grow and shrink during program execution. Each node contains a data item and a pointer to the next node. This allows for efficient insertion and deletion by changing the pointers. There are different types of linked lists including singly linked, doubly linked, and circular linked lists. Operations like traversing, searching, inserting, and deleting can be performed on linked lists through manipulating the pointers between nodes.
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
This document discusses the key concepts and operations related to linked lists. It describes the different types of linked lists including singly linked lists, doubly linked lists, circular linked lists, and circular doubly linked lists. It provides algorithms for common linked list operations like insertion, deletion, and traversal. Memory allocation and various applications of linked lists are also covered.
Linked lists are linear data structures where elements are linked using pointers. Each element contains a data field and a pointer to the next node. Elements are not stored at contiguous memory locations. There are three main types of linked lists: single, double, and circular. Operations like insertion and deletion on linked lists involve adjusting the pointers of neighboring nodes, allowing dynamic memory allocation and efficient addition/removal of elements compared to arrays.
This document provides an overview of different data structures including linked data structures, arrays, and pointers. It discusses linked lists, their advantages over arrays, and different types of linked lists including singly linked lists, doubly linked lists, and circular linked lists. It also covers pointers, how they store addresses, and pointer variables.
The document discusses strings, pattern matching, and linked lists in C programming. It defines strings as arrays of characters terminated by a null character. Common string functions like scanf(), gets(), printf(), and puts() are described. Pattern matching algorithms like naive and KMP are explained with examples. Linked lists are defined as linear data structures of nodes containing data and a pointer to the next node. Common operations on singly linked lists like insertion, deletion, and traversal are demonstrated with pseudocode.
The document discusses algorithms, data abstraction, asymptotic analysis, arrays, polynomials, and sparse matrices. It defines algorithms and discusses their advantages and disadvantages. It explains how to design an algorithm and describes iterative and recursive algorithms. It defines data abstraction and gives an example using smartphones. It discusses time and space complexity analysis and different asymptotic notations like Big O, Omega, and Theta. It describes what arrays are, different types of arrays, and applications of arrays. It explains how to represent and add polynomials using linked lists. Finally, it defines sparse matrices and two methods to represent them using arrays and linked lists.
This document discusses linked lists and provides details about singly linked lists and doubly linked lists. It defines linked lists as data structures made up of nodes that are linked together via pointers. Singly linked lists have pointers to the next node only, while doubly linked lists have pointers to both the next and previous nodes. The document outlines common operations for each like insertion, deletion, and display and provides pseudocode for implementing these operations.
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.
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.
The document provides information on linked lists including:
- Linked lists are a linear data structure where each node contains data and a pointer to the next node.
- They allow for dynamic memory allocation and easier insertion/deletion than arrays.
- Common types include singly linked, doubly linked, circular singly/doubly linked lists.
- The document describes creating linked lists in C using structures, and operations like insertion, deletion, searching.
The document discusses linked lists and their basic operations. It defines a linked list as a series of connected nodes where each node contains a data element and a pointer to the next node. The basic operations of linked lists include inserting nodes, finding or deleting nodes by value, and traversing the list. It also discusses different types of linked lists like singly linked lists, doubly linked lists, and circular linked lists. The document explains how to implement operations like insertion, deletion, and traversal in detail with examples.
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 document provides information on various operations that can be performed on linked lists, including inserting, deleting, searching, sorting, and reversing nodes. It begins by explaining how to create a basic linked list with three nodes by allocating memory for each node, assigning data values, and connecting the nodes. It then discusses functions for inserting nodes at the beginning, middle, or end of the list. Other operations covered include traversing the list, deleting nodes, searching for a value, sorting nodes, and reversing the order of nodes. Code examples are provided for many of the operations.
The document discusses linked lists and their implementation in C. It defines linked lists as dynamic data structures that store data in nodes linked together via pointers. The key operations on linked lists include insertion and deletion of nodes, as well as traversing and searching the list. It describes implementing linked lists as singly linked lists, doubly linked lists, and circular linked lists. Functions are provided for basic linked list operations like insertion, deletion, display on singly linked lists, and implementations of stacks and queues using linked lists.
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.
The document discusses various types of linked lists including circular linked lists, linked implementation of stacks and queues, and applications of linked lists. Circular linked lists form a closed loop where the last node points to the first node. Linked stacks and queues can be implemented using linked lists which allows dynamic memory allocation instead of fixed size arrays. Applications of linked lists include representing polynomials for arithmetic operations, adding long integers, and non-integer/heterogeneous lists.
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.
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.
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 arrays and linked lists. It provides information on:
- What arrays and linked lists are and how they are used to store data in memory. Arrays use indexes to access data while linked lists use nodes connected through pointers.
- Common operations for each including insertion, deletion, and searching. For arrays this includes shifting elements, while for linked lists it involves manipulating the pointers between nodes.
- Specific implementation details for single linked lists, including defining node structures and performing operations at different points in the list.
This document discusses linked lists and representing stacks and queues using linked lists. It provides information on different types of linked lists including singly, doubly, and circular linked lists. It describes inserting, deleting, and traversing nodes in a singly linked list. It also provides a C program example to implement a stack using a linked list with functions for push, pop, and display operations. The document discusses how linked lists are dynamic data structures that can grow and shrink in size as needed, unlike arrays.
Linked lists are dynamic data structures that can grow and shrink during program execution. Each node contains a data item and a pointer to the next node. This allows for efficient insertion and deletion by changing the pointers. There are different types of linked lists including singly linked, doubly linked, and circular linked lists. Operations like traversing, searching, inserting, and deleting can be performed on linked lists through manipulating the pointers between nodes.
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
This document discusses the key concepts and operations related to linked lists. It describes the different types of linked lists including singly linked lists, doubly linked lists, circular linked lists, and circular doubly linked lists. It provides algorithms for common linked list operations like insertion, deletion, and traversal. Memory allocation and various applications of linked lists are also covered.
Linked lists are linear data structures where elements are linked using pointers. Each element contains a data field and a pointer to the next node. Elements are not stored at contiguous memory locations. There are three main types of linked lists: single, double, and circular. Operations like insertion and deletion on linked lists involve adjusting the pointers of neighboring nodes, allowing dynamic memory allocation and efficient addition/removal of elements compared to arrays.
This document provides an overview of different data structures including linked data structures, arrays, and pointers. It discusses linked lists, their advantages over arrays, and different types of linked lists including singly linked lists, doubly linked lists, and circular linked lists. It also covers pointers, how they store addresses, and pointer variables.
The document discusses strings, pattern matching, and linked lists in C programming. It defines strings as arrays of characters terminated by a null character. Common string functions like scanf(), gets(), printf(), and puts() are described. Pattern matching algorithms like naive and KMP are explained with examples. Linked lists are defined as linear data structures of nodes containing data and a pointer to the next node. Common operations on singly linked lists like insertion, deletion, and traversal are demonstrated with pseudocode.
The document discusses algorithms, data abstraction, asymptotic analysis, arrays, polynomials, and sparse matrices. It defines algorithms and discusses their advantages and disadvantages. It explains how to design an algorithm and describes iterative and recursive algorithms. It defines data abstraction and gives an example using smartphones. It discusses time and space complexity analysis and different asymptotic notations like Big O, Omega, and Theta. It describes what arrays are, different types of arrays, and applications of arrays. It explains how to represent and add polynomials using linked lists. Finally, it defines sparse matrices and two methods to represent them using arrays and linked lists.
This document discusses different tree and graph data structures and algorithms. It begins by defining trees and their key properties like nodes, roots, parents, children, levels. It then discusses binary trees and their representations. Next, it covers binary search trees, their properties and operations like search, insert, delete. It also discusses different tree traversals. Finally, it discusses heaps, graphs and their representations and operations.
The document discusses various sorting algorithms including insertion sort, merge sort, quick sort, heap sort, and hashing techniques. Insertion sort works by building a sorted list one item at a time from an unsorted list. Merge sort divides the list into halves, recursively sorts each half, and then merges the sorted halves. Quick sort selects a pivot element and partitions the list into sublists based on element values relative to the pivot. Heap sort uses a heap data structure to arrange elements in ascending or descending order. Hashing maps keys to values in a hash table using hash functions to optimize data retrieval.
The document discusses data structures and algorithms including stacks, queues, and their implementations using arrays and linked lists. Key points:
1. Stacks follow LIFO principle and allow insertion/removal at one end only. Queues follow FIFO principle. Both can be implemented using arrays or linked lists.
2. Common stack operations like push, pop, and peek have O(1) time complexity. Queue operations like enqueue and dequeue also have O(1) time complexity.
3. Linked list implementations of stacks and queues allocate memory dynamically and don't have size limits like arrays.
4. A circular queue treats the last node as connected to the first, forming a ring. This allows insertion
The document discusses data types, data structures, algorithms, recursion, and asymptotic analysis. It provides definitions and examples of key concepts like abstract data types, data abstraction, algorithms, iterative vs recursive algorithms, complexity analysis using Big-O, Big-Omega and Big-Theta notations. Examples of recursively implementing algorithms to find sum of natural numbers, factorial, GCD, Fibonacci series are presented.
The document discusses database normalization and transaction processing. It begins by explaining database normalization as a process to reduce redundancy in tables by decomposing them into multiple tables. It then covers various normal forms (1NF, 2NF, 3NF, BCNF, 4NF) and how to normalize tables to these forms. The document next discusses transactions, defining them as logical units of work that must have ACID properties (atomicity, consistency, isolation, durability). It explains concurrency control and locking protocols to ensure transactions operate serially for consistency.
The correct statement is D.
DML commands:
- INSERT - Used to insert new rows into tables.
- UPDATE - Used to modify existing data in a table.
- DELETE - Used to remove existing rows from a table.
- SELECT - Used to retrieve data from one or more tables.
So to add a primary key constraint on the student_id column of the students table, we need to use the ALTER TABLE command with ADD CONSTRAINT and specify the column in parentheses.
D. ALTER TABLE students ADD CONSTRAINT stud_id_pk PRIMARY KEY (student_id);
This adds a primary key constraint named stud_id_pk to the student_id
The correct statement is D.
DML commands:
- INSERT - Used to insert new rows into tables.
- UPDATE - Used to modify existing data in a table.
- DELETE - Used to remove existing rows from a table.
- SELECT - Used to retrieve data from one or more tables.
Some key points about DML:
- DML statements allow users and applications to query or modify the data present in the database.
- DML statements do not change the structure or schema of the database - that is done using DDL statements.
- Transaction control statements like COMMIT and ROLLBACK are also considered part of DML.
So in summary,
The correct statement is D.
DML commands:
- INSERT - Used to insert new rows into tables.
- UPDATE - Used to modify existing data in a table.
- DELETE - Used to remove existing rows from a table.
- SELECT - Used to retrieve data from one or more tables.
So to add a primary key constraint on the student_id column of the students table, we need to use the ALTER TABLE command with ADD CONSTRAINT and specify the column in parentheses as shown in option D.
The other options are incorrect because:
A) Does not specify a constraint name
B) Does not enclose column name in parentheses
C) Tries
SATTA MATKA SATTA FAST RESULT KALYAN TOP MATKA RESULT KALYAN SATTA MATKA FAST RESULT MILAN RATAN RAJDHANI MAIN BAZAR MATKA FAST TIPS RESULT MATKA CHART JODI CHART PANEL CHART FREE FIX GAME SATTAMATKA ! MATKA MOBI SATTA 143 spboss.in TOP NO1 RESULT FULL RATE MATKA ONLINE GAME PLAY BY APP SPBOSS
Best practices for project execution and deliveryCLIVE MINCHIN
A select set of project management best practices to keep your project on-track, on-cost and aligned to scope. Many firms have don't have the necessary skills, diligence, methods and oversight of their projects; this leads to slippage, higher costs and longer timeframes. Often firms have a history of projects that simply failed to move the needle. These best practices will help your firm avoid these pitfalls but they require fortitude to apply.
Top mailing list providers in the USA.pptxJeremyPeirce1
Discover the top mailing list providers in the USA, offering targeted lists, segmentation, and analytics to optimize your marketing campaigns and drive engagement.
[To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
This PowerPoint compilation offers a comprehensive overview of 20 leading innovation management frameworks and methodologies, selected for their broad applicability across various industries and organizational contexts. These frameworks are valuable resources for a wide range of users, including business professionals, educators, and consultants.
Each framework is presented with visually engaging diagrams and templates, ensuring the content is both informative and appealing. While this compilation is thorough, please note that the slides are intended as supplementary resources and may not be sufficient for standalone instructional purposes.
This compilation is ideal for anyone looking to enhance their understanding of innovation management and drive meaningful change within their organization. Whether you aim to improve product development processes, enhance customer experiences, or drive digital transformation, these frameworks offer valuable insights and tools to help you achieve your goals.
INCLUDED FRAMEWORKS/MODELS:
1. Stanford’s Design Thinking
2. IDEO’s Human-Centered Design
3. Strategyzer’s Business Model Innovation
4. Lean Startup Methodology
5. Agile Innovation Framework
6. Doblin’s Ten Types of Innovation
7. McKinsey’s Three Horizons of Growth
8. Customer Journey Map
9. Christensen’s Disruptive Innovation Theory
10. Blue Ocean Strategy
11. Strategyn’s Jobs-To-Be-Done (JTBD) Framework with Job Map
12. Design Sprint Framework
13. The Double Diamond
14. Lean Six Sigma DMAIC
15. TRIZ Problem-Solving Framework
16. Edward de Bono’s Six Thinking Hats
17. Stage-Gate Model
18. Toyota’s Six Steps of Kaizen
19. Microsoft’s Digital Transformation Framework
20. Design for Six Sigma (DFSS)
To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations
Brian Fitzsimmons on the Business Strategy and Content Flywheel of Barstool S...Neil Horowitz
On episode 272 of the Digital and Social Media Sports Podcast, Neil chatted with Brian Fitzsimmons, Director of Licensing and Business Development for Barstool Sports.
What follows is a collection of snippets from the podcast. To hear the full interview and more, check out the podcast on all podcast platforms and at www.dsmsports.net
Navigating the world of forex trading can be challenging, especially for beginners. To help you make an informed decision, we have comprehensively compared the best forex brokers in India for 2024. This article, reviewed by Top Forex Brokers Review, will cover featured award winners, the best forex brokers, featured offers, the best copy trading platforms, the best forex brokers for beginners, the best MetaTrader brokers, and recently updated reviews. We will focus on FP Markets, Black Bull, EightCap, IC Markets, and Octa.
Starting a business is like embarking on an unpredictable adventure. It’s a journey filled with highs and lows, victories and defeats. But what if I told you that those setbacks and failures could be the very stepping stones that lead you to fortune? Let’s explore how resilience, adaptability, and strategic thinking can transform adversity into opportunity.
IMPACT Silver is a pure silver zinc producer with over $260 million in revenue since 2008 and a large 100% owned 210km Mexico land package - 2024 catalysts includes new 14% grade zinc Plomosas mine and 20,000m of fully funded exploration drilling.
How are Lilac French Bulldogs Beauty Charming the World and Capturing Hearts....Lacey Max
“After being the most listed dog breed in the United States for 31
years in a row, the Labrador Retriever has dropped to second place
in the American Kennel Club's annual survey of the country's most
popular canines. The French Bulldog is the new top dog in the
United States as of 2022. The stylish puppy has ascended the
rankings in rapid time despite having health concerns and limited
color choices.”
[To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
This presentation is a curated compilation of PowerPoint diagrams and templates designed to illustrate 20 different digital transformation frameworks and models. These frameworks are based on recent industry trends and best practices, ensuring that the content remains relevant and up-to-date.
Key highlights include Microsoft's Digital Transformation Framework, which focuses on driving innovation and efficiency, and McKinsey's Ten Guiding Principles, which provide strategic insights for successful digital transformation. Additionally, Forrester's framework emphasizes enhancing customer experiences and modernizing IT infrastructure, while IDC's MaturityScape helps assess and develop organizational digital maturity. MIT's framework explores cutting-edge strategies for achieving digital success.
These materials are perfect for enhancing your business or classroom presentations, offering visual aids to supplement your insights. Please note that while comprehensive, these slides are intended as supplementary resources and may not be complete for standalone instructional purposes.
Frameworks/Models included:
Microsoft’s Digital Transformation Framework
McKinsey’s Ten Guiding Principles of Digital Transformation
Forrester’s Digital Transformation Framework
IDC’s Digital Transformation MaturityScape
MIT’s Digital Transformation Framework
Gartner’s Digital Transformation Framework
Accenture’s Digital Strategy & Enterprise Frameworks
Deloitte’s Digital Industrial Transformation Framework
Capgemini’s Digital Transformation Framework
PwC’s Digital Transformation Framework
Cisco’s Digital Transformation Framework
Cognizant’s Digital Transformation Framework
DXC Technology’s Digital Transformation Framework
The BCG Strategy Palette
McKinsey’s Digital Transformation Framework
Digital Transformation Compass
Four Levels of Digital Maturity
Design Thinking Framework
Business Model Canvas
Customer Journey Map
Taurus Zodiac Sign: Unveiling the Traits, Dates, and Horoscope Insights of th...my Pandit
Dive into the steadfast world of the Taurus Zodiac Sign. Discover the grounded, stable, and logical nature of Taurus individuals, and explore their key personality traits, important dates, and horoscope insights. Learn how the determination and patience of the Taurus sign make them the rock-steady achievers and anchors of the zodiac.
The Heart of Leadership_ How Emotional Intelligence Drives Business Success B...
VCE Unit 02 (1).pptx
1. CCC Digital India Pvt Ltd. 2nd Floor, Quantum Hub, Siripuram Jn, Visakapatnam-530003
UNIT-2
Linked lists: Introduction, linked lists and types, Representation of linked lists, Operations on linked list, Comparison of liked
lists with arrays and Dynamic arrays .
DATA STRUCTURES
•Data structure is a process of storing and organizing the data in different ways
•Data structures can be used to solve many real time problems
•Each data structure is useful in different situations
TYPES OF DATA STRUCTURES
4. PRE REQUISITE FOR DATA STRUCTURES:
To do operations on data structures, everyone should have good skills over the following concepts
•Pointers
•Structures
•Dynamic memory allocation
•Recursion
LINKED LIST
•It is a linear data structure with collection of similar elements
•Each element in a linked list is known as node
•In this it consist set of nodes
•Each node contains a relation with next node using node’s address
•Compared to arrays, linked list are used when number of elements are unknown
•Compared to arrays memory is efficiently used in linked list because of dynamic nature
5. TYPES OF LINKED LIST
Types of linked list are
•Single linked list
•Double linked list
•Circular single linked list
•Circular double linked list
APPLICATIONS OF LINKED LIST
•To implement other data structures like stack, queue, trees and graphs
•To perform arithmetic operations on long integers
•To perform arithmetic operations on polynomials
•To maintain directory of names
•To represent sparse matrices etc.
6. SINGLE LINKED LIST
•In this each node consist two fields. They are data field and address field. They are
i) Data field: Consist value to be stored
ii) Address field: Consist address of the next node
•In this we can traverse only in forward direction
•A head/start pointer consist address of the first node
•Initially head==NULL
•Every node address field consist address of its next node
•Last node address is NULL to indicate end of the list
•NULL is a pre-defined macro. It’s value is 0
•printf(“null value=%d”,NULL); //null value=0
8. SINGLE LINKED LIST DECLARATION:
struct node
{
int data;
struct node *next;
};
struct node *newnode, *head=NULL;
newnode=(struct node*)malloc(sizeof(struct node));
OPERATIONS ON LINKED LIST:
•Inserting at the beginning of the list
•Inserting at the end of the list
•Inserting at the particular position of the list
•Deleting from the beginning
•Deleting from the end
•Deleting from the specified location
•Displaying list of values
•Counting number of nodes
•Printing list in reverse order
•Finding cycle in the list
•Finding merge point of the two lists etc.
9. INSERT AT BEGINNING OF SINGLE LINKED LIST ALGORITHM:
INSERT AT BEGINNING OF SINGLE LINKED LIST ALGORITHM
10. STEP-1
Allocate memory to newnode, store x in data field, NULL in address field
struct node *newnode=(struct node*)malloc(sizeof(struct node));
newnode->data=x;
newnode->next=NULL;
STEP-2
If there are no nodes in the linked list ,then assign newnode address to head
if(head==NULL) //case 1: there are no nodes in LL
head=newnode;
STEP-3
Else, first store address of newnode in the next field then make newnode as first node
by storing its address in head
else // case 2: there are more nodes in LL
{
newnode->next=head;
head=newnode;
}
12. STEP-1
Allocate memory to newnode, store x in data field, NULL in address field
struct node *newnode=(struct node*)malloc(sizeof(struct node));
newnode->data=x;
newnode->next=NULL;
STEP-2
If there are no nodes in the linked list ,then assign newnode address to head
if(head==NULL) //case 1: there are no nodes in LL
head=newnode;
STEP-3
Else, create a pointer P, store head address in it.
struct node *p=head;
STEP-4
Now move P to the end of the linked list
while(p->next!=NULL)//while(p->next)
p=p->next;
STEP-5
Now store newnode address in P next field in place of NULL
p->next=newnode;
14. STEP-1
Allocate memory to newnode, store x in data field, NULL in address field
struct node *newnode=(struct node*)malloc(sizeof(struct node));
newnode->data=x;
newnode->next=NULL;
STEP-2
If there are no nodes in the linked list ,then assign newnode address to head
if(head==NULL) //case 1: there are no nodes in LL
head=newnode;
STEP-3
If position==1 insert node at the beginning
newnode->next=head;
head=newnode;
STEP-4 else,
STEP-5
Now store newnode address in P next field in place of NULL
p->next=newnode;
15. DISPLAYING SINGLE LINKED LIST ALGORITHM
STEP-1
Check whether list is EMPTY or not with condition
(head==NULL)
STEP-2
If list is EMPTY, then display "List is empty, cannot display element”, and terminate
the function
STEP-3
If list is NOT EMPTY, then define a pointer called temp, and initialize it with head i.e.,
temp=head
STEP-4 Display the node data with print(tempdata)
STEP-5
Now move temp to the next node using address
temp=tempnext, until it reaches end of list i.e., while(temp!=NULL)
18. We can use the following steps to delete a node from beginning of the single linked list...
•Step 1 - Check whether list is Empty (head == NULL)
•Step 2 - If it is Empty then, display 'List is Empty!!! Deletion is not possible' and terminate the function.
•Step 3 - If it is Not Empty then, define a Node pointer 'temp' and initialize with head.
•Step 4 - Check whether list is having only one node (temp → next == NULL)
•Step 5 - If it is TRUE then set head = NULL and delete temp (Setting Empty list conditions)
•Step 6 - If it is FALSE then set head = temp → next, and delete temp.
Deleting from End of the list
We can use the following steps to delete a node from end of the single linked list...
19. •Step 1 - Check whether list is Empty (head == NULL)
•Step 2 - If it is Empty then, display 'List is Empty!!! Deletion is not possible' and terminate the function.
•Step 3 - If it is Not Empty then, define two Node pointers 'temp1' and 'temp2' and initialize 'temp1' with head.
•Step 4 - Check whether list has only one Node (temp1 → next == NULL)
•Step 5 - If it is TRUE. Then, set head = NULL and delete temp1. And terminate the function.
•(Setting Empty list condition)
•Step 6 - If it is FALSE. Then, set 'temp2 = temp1 ' and move temp1 to its next node.
•Repeat the same until it reaches to the last node in the list. (until temp1 → next == NULL)
•Step 7 - Finally, Set temp2 → next = NULL and delete temp1.
Delete a Particular Node
20. The steps below can be used to remove a specific node from the single linked list:
Step 1: Check to see if the list is empty (head == NULL).
Step 2: If the list is empty, display the message ‘List is Empty!!!’ Deletion is not possible’, and the function is terminated.
Step 3: If it’s not empty, create two Node pointers, ‘temp1’ and ‘temp2,’ and set ‘temp1’ to head.
Step 4: Continue dragging the temp1 until it approaches the last node or the particular node to be deleted.
And before moving ‘temp1’ to the next node, always set ‘temp2 = temp1’.
Step 5: Once you’re at the last node, the message “Given node not found in the list! Deletion Not Possible” appears.
Finally, the function is terminated.
Step 6: If you’ve reached the particular node which you want to delete, check to see if the list has only one node.
Step 7: Set head = NULL and remove temp1 (free(temp1)) if list contains just one node and that is the node to be deleted.
Step 8: Check if temp1 is the first node in the list (temp1 == head) if the list has several nodes.
Step 9: If temp1 is the initial node, remove temp1 and shift the head to the next node (head = head→next).
Step 10: If temp1 isn’t the first node in the list (temp1→next == NULL), see if it’s the final one.
Step 11: Set temp2→next = NULL and remove temp1 (free(temp1)) if temp1 is the final node.
Step 12: Set temp2→next = temp1 →next and remove temp1 (free(temp1)) if temp1 is not the first or last node.
22. DYNAMIC ARRAY Vs LIKED LIST
Compared to linked lists, dynamic arrays have faster indexing (constant time versus linear time) and typically
faster iteration due to improved locality of reference; however, dynamic arrays require linear time to insert or delete
at an arbitrary location, since all following elements must be moved, while linked lists can do this in constant time.
Linked lists do not require the whole data structure to be stored contiguously whereas it may be expensive or
impossible to find contiguous space for a large dynamic array
Dynamic arrays are really contiguous memory slots allocated dynamically to a variable.
With a reference/pointer to the first memory address in the allocated contiguous memory blocks, you have direct
access to each slot - Array indexes are "added" to the address and the values stored at the resulting
address is returned, making it constant-time access. Nodes within a linked list is accessed sequentially.
To get to a node, you need to run through every node prior to it within the list.
CIRCULAR LINKED LIST
•In CLL the last node does not consist NULL pointer
•Last node consist address of the first node
23. CLL ADVANTAGES
•Any node can be a starting point
•We don’t need to maintain two pointers for front and rear if we use circular linked list.
We can maintain a pointer to the last inserted node and front can always be obtained as next of last
•Circular lists are useful in applications to repeatedly go around the list.
CLL REPRESENTATION
24. •In CLL take a pointer tail instead of head for easy access
struct Node
{
int data;
struct Node *next;
}*tail=NULL, *temp;
INSERT AT BEGINNING OF CIRCULAR LL ALGORITHM
25. STEP-1
Create a newnode, store value add NULL address
newNode = (struct Node*)malloc(sizeof(struct Node));
newNode->data=value;
newNode->next=NULL;
STEP-2
Check whether list is EMPTY or not with condition
(tail==NULL)
STEP-3
If list is EMPTY, then assign newnode address to tail and tail->next
tail=newnode
tail->next=newnode
STEP-4
If list is NOT EMPTY, then in the newnode->next store tail->next address and make
newnode as first node with tail
newNode->next=tail->next;
tail->next=newNode;
STEP-5 Display value is inserted in Circular LL
27. STEP-1
Create a newnode, store value add NULL address
newNode = (struct Node*)malloc(sizeof(struct Node));
newNode->data=value;
newNode->next=NULL;
STEP-2
Check whether list is EMPTY or not with condition
(tail==NULL)
STEP-3
If list is EMPTY, then assign newnode address to tail and tail->next
tail=newnode
tail->next=newnode
STEP-4
If list is NOT EMPTY, then in the newnode->next store tail->next address and make
newnode as last node with tail
newNode->next=tail->next;
tail->next=newNode;
tail=newNode;
STEP-5 Display value is inserted in Circular LL
28. INSERT AT SPECIFIC LOCATION OF CIRCULAR LL ALGORITHM
These methods are used to put data into a circular linked list at a specified point.
•Terminate the function if the circular linked list is empty.
•If not, create two node pointers.
•Create a new node to store the data. Now, navigate to the desired location and place this new node there.
•Connect the pointer of this new node to the node that was previously existing at this location.
•To observe the outcome, print the new circular linked list.
29. Deletion of the First Node
The instructions below can be used to
remove a node from the circular linked
list’s beginning:
Step 1: Check for Overflow
if start = Null then
print list is empty
Exit
End if
Step 2: set ptr = start
Step 3: set start = start -> next
Step 4: print Element deleted is ,ptr ->
info
Step 5: set last -> next = start
Step 6: free ptr
Step 7: EXIT
31. The instructions below can be used to remove a node from the circular linked list’s end:
Step 1: IF START = NULL
Write UNDERFLOW
Go to Step 8
[END OF IF]
Step 2: SET PTR = START
Step 3: Repeat Steps 4 and 5 while PTR NEXT != START
Step 4: SET PREPTR = PTR
Step 5: SET PTR = PTR NEXT [END OF LOOP]
Step 6: SET PREPTR NEXT = START
Step 7: FREE PTR
Step 8: EXIT
START is used to initialize the pointer variable PTR, i.e., PTR now points to the linked list’s first node.
We use another pointer variable PREPTR in the while loop so that PREPTR always refers to one node before PTR.
We set the next pointer of the second last node to START after we reach the last node and the second last node,
making it the (new) final node of the linked list.
32. Deletion from Specific Point
Deletion from the nth place in a circular linked list is one of the deletion operations that we commonly execute on this
type of list. We utilize pointers to traverse the circular linked list and conduct deletion from a specified position.
These instructions are used to delete a specified place in a circular linked list:
•Initialize the p and q node pointers.
•Create a variable called k that will serve as a counter variable.
•Set the value of del to pos-1.
•Repeat step 5 until k does not equal del.
•Make q=p and p=p->next in this loop.
•After each successful repetition, increase the value of k by one.
•Make the next of q equal to the next of p.
•Delete the node referred to by the node pointer p.
33. DOUBLE LINKED LIST
•In SLL it is possible to move only in the forward direction
•You cannot move back in SLL because every node consist only address of next node
•But in DLL we can move in the forward and backward directions
•In DLL every node consist 3 three fields. They are
i) Data field: stores value
ii) Previous pointer field: stores address of previous node
iii) Next pointer field: stores address of next node
•First node previous field consist NULL value
•Last node next field consist NULL value
36. STEP-1
Create a newnode, store value in data field and NULL in previous field of newnode
newnode -> data = value;
newnode -> previous = NULL;
STEP-2
If head==NULL, make the newnode as first node with assigning NULL in next field, and
make head as newnode
newnode -> next = NULL;
head = newnode;
STEP-3
Else store head address in next field of newnode
And make it as first node
newnode -> next = head;
head->prev=newnode;
head = newnode;
STEP-4 Display node is inserted
38. STEP-1
Create a newnode, store value in data field and NULL in next field of newnode
newNode -> data = value;
newNode ->next = NULL;
STEP-2
If head==NULL, make the newnode as last node with assigning NULL in previous field, and make head as newnode
newNode -> previous = NULL;
head = newNode;
STEP-3
Else create a temp node, and assign head address in it. Move temp node to the last node. Then store temp address in
previous and next fields
struct Node *temp = head;
while(temp -> next != NULL)
temp = temp -> next;
temp -> next = newNode;
newNode -> previous = temp;
STEP-4 Display node is inserted
39. Deletion
In a double linked list, the deletion operation can be performed in three
ways as follows...
•Deleting from Beginning of the list
•Deleting from End of the list
•Deleting a Specific Node
Deleting from Beginning of the list
40. We can use the following steps to delete a node from beginning of the double linked list...
•Step 1 - Check whether list is Empty (head == NULL)
•Step 2 - If it is Empty then, display 'List is Empty!!! Deletion is not possible' and terminate the function
.
•Step 3 - If it is not Empty then, define a Node pointer 'temp' and initialize with head.
•Step 4 - Check whether list is having only one node (temp → previous is equal to temp → next)
•Step 5 - If it is TRUE, then set head to NULL and delete temp (Setting Empty list conditions)
•Step 6 - If it is FALSE, then assign temp → next to head, NULL to head → previous and delete temp.
42. We can use the following steps to delete a node from end of the double linked list...
•Step 1 - Check whether list is Empty (head == NULL)
•Step 2 - If it is Empty, then display 'List is Empty!!! Deletion is not possible' and terminate
the function.
•Step 3 - If it is not Empty then, define a Node pointer 'temp' and initialize with head.
•Step 4 - Check whether list has only one Node (temp → previous and temp → next both
are NULL)
•Step 5 - If it is TRUE, then assign NULL to head and delete temp. And terminate from the
function. (Setting Empty list condition)
•Step 6 - If it is FALSE, then keep moving temp until it reaches to the last node in the list.
(until temp → next is equal to NULL)
•Step 7 - Assign NULL to temp → previous → next and delete temp.
44. We can use the following steps to delete a specific node from the double linked list...
•Step 1 - Check whether list is Empty (head == NULL)
•Step 2 - If it is Empty then, display 'List is Empty!!! Deletion is not possible' and terminate the function.
•Step 3 - If it is not Empty, then define a Node pointer 'temp' and initialize with head.
•Step 4 - Keep moving the temp until it reaches to the exact node to be deleted or to the last node.
•Step 5 - If it is reached to the last node, then display 'Given node not found in the list! Deletion not
possible!!!' and terminate the function.
•Step 6 - If it is reached to the exact node which we want to delete, then check whether list is having only one node
or not
•Step 7 - If list has only one node and that is the node which is to be deleted then set head to NULL and
delete temp (free(temp)).
•Step 8 - If list contains multiple nodes, then check whether temp is the first node in the list (temp == head).
•Step 9 - If temp is the first node, then move the head to the next node (head = head → next),
set head of previous to NULL (head → previous = NULL) and delete temp.
45. •Step 10 - If temp is not the first node, then check whether it is the last node in the list
(temp → next == NULL).
•Step 11 - If temp is the last node then set temp of previous of next to NULL (temp →
previous → next = NULL) and delete temp (free(temp)).
•Step 12 - If temp is not the first node and not the last node, then
set temp of previous of next to temp of next (temp → previous → next = temp →
next), temp of next of previous to temp of previous (temp → next → previous = temp
→ previous) and delete temp (free(temp)).
46. We can use the following steps to display the elements of a double linked list...
•Step 1 - Check whether list is Empty (head == NULL)
•Step 2 - If it is Empty, then display 'List is Empty!!!' and terminate the
function.
•Step 3 - If it is not Empty, then define a Node pointer 'temp' and initialize
with head.
•Step 4 - Display 'NULL <--- '.
•Step 5 - Keep displaying temp → data with an arrow (<===>)
until temp reaches to the last node
•Step 6 - Finally, display temp → data with arrow pointing to NULL (temp →
data ---> NULL).
Displaying a Double Linked List