1. The document discusses linked lists, including their representation in memory using nodes containing data and pointer fields, common operations like traversal, searching, and examples of single/double/circular linked lists.
2. Linked lists allow for efficient insertion/deletion by avoiding the need to shift elements like in arrays, but can only be traversed sequentially through each node.
3. The key aspects of linked lists like representation, traversing algorithms, searching unsorted lists, handling overflow and underflow are explained through examples.
Bca data structures linked list mrs.sowmya jyothiSowmya Jyothi
1. Linked lists are a linear data structure where each element contains a data field and a pointer to the next element. This allows flexible insertion and deletion compared to arrays.
2. Each node of a singly linked list contains a data field and a next pointer. Traversal follows the next pointers from head to tail. Doubly linked lists add a back pointer for bidirectional traversal.
3. Common operations on linked lists include traversal, search, insertion at head/specific point, and deletion by adjusting pointers. Memory for new nodes comes from a free list, and deleted nodes return there.
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.
The document discusses linked lists and how they are represented in memory. Linked lists allow for efficient insertion and deletion by using nodes that contain a data field and a pointer to the next node. Each node is represented by two arrays, one storing data and one storing next pointers. A starting pointer points to the first node. Traversing a linked list involves using a pointer variable that iterates through each node by following its next pointer until a null pointer signifies the end of the list.
This is a presentation on Linked Lists, one of the most important topics on Data Structures and algorithms. Anyone who is new to DSA or wants to have a theoretical understanding of the same can refer to it :D
A linked list is a linear data structure where elements are linked using pointers. Each element contains a data field and a pointer to the next node. Linked lists allow for dynamic sizes and easy insertion/deletion. They are less cache friendly than arrays due to non-contiguous memory allocation. Common operations include insertion/deletion at the beginning, middle, or end which have time complexities ranging from O(1) to O(n) depending on the operation and presence of additional pointers. Doubly linked lists contain pointers to both the next and previous nodes, enabling traversal in both directions but using more memory.
This document summarizes a lecture on arrays and linked lists. It discusses arrays, including how to declare and access array elements. It then covers linear arrays and 2-dimensional arrays. Linked lists are introduced, including how they are composed of nodes that link to the next node. Operations on linked lists like traversing, searching, inserting and deleting nodes are described. Doubly linked lists are also covered, which include pointers to both the next and previous nodes.
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.
Linked lists are linear data structures where elements are linked using pointers. Unlike arrays, the elements of a linked list are not stored at contiguous memory locations. Linked lists allow for dynamic sizes and easier insertion/deletion of elements compared to arrays but have disadvantages like non-sequential access of elements and extra memory usage for pointers. A linked list node contains a data field and a pointer to the next node. A doubly linked list node also contains a pointer to the previous node, allowing traversal in both directions.
Bca data structures linked list mrs.sowmya jyothiSowmya Jyothi
1. Linked lists are a linear data structure where each element contains a data field and a pointer to the next element. This allows flexible insertion and deletion compared to arrays.
2. Each node of a singly linked list contains a data field and a next pointer. Traversal follows the next pointers from head to tail. Doubly linked lists add a back pointer for bidirectional traversal.
3. Common operations on linked lists include traversal, search, insertion at head/specific point, and deletion by adjusting pointers. Memory for new nodes comes from a free list, and deleted nodes return there.
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.
The document discusses linked lists and how they are represented in memory. Linked lists allow for efficient insertion and deletion by using nodes that contain a data field and a pointer to the next node. Each node is represented by two arrays, one storing data and one storing next pointers. A starting pointer points to the first node. Traversing a linked list involves using a pointer variable that iterates through each node by following its next pointer until a null pointer signifies the end of the list.
This is a presentation on Linked Lists, one of the most important topics on Data Structures and algorithms. Anyone who is new to DSA or wants to have a theoretical understanding of the same can refer to it :D
A linked list is a linear data structure where elements are linked using pointers. Each element contains a data field and a pointer to the next node. Linked lists allow for dynamic sizes and easy insertion/deletion. They are less cache friendly than arrays due to non-contiguous memory allocation. Common operations include insertion/deletion at the beginning, middle, or end which have time complexities ranging from O(1) to O(n) depending on the operation and presence of additional pointers. Doubly linked lists contain pointers to both the next and previous nodes, enabling traversal in both directions but using more memory.
This document summarizes a lecture on arrays and linked lists. It discusses arrays, including how to declare and access array elements. It then covers linear arrays and 2-dimensional arrays. Linked lists are introduced, including how they are composed of nodes that link to the next node. Operations on linked lists like traversing, searching, inserting and deleting nodes are described. Doubly linked lists are also covered, which include pointers to both the next and previous nodes.
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.
Linked lists are linear data structures where elements are linked using pointers. Unlike arrays, the elements of a linked list are not stored at contiguous memory locations. Linked lists allow for dynamic sizes and easier insertion/deletion of elements compared to arrays but have disadvantages like non-sequential access of elements and extra memory usage for pointers. A linked list node contains a data field and a pointer to the next node. A doubly linked list node also contains a pointer to the previous node, allowing traversal in both directions.
The document discusses linked lists and their implementation in C. It begins with an overview of linked lists, their advantages over arrays, and representation in memory using node structures. It then provides examples of creating a simple linked list with 3 nodes, and functions for inserting and deleting nodes. Different types of linked lists are covered like doubly linked lists, circular linked lists, and their operations. Key points about each type of linked list and operations like insertion, deletion are summarized.
The document discusses various data structures and operations on linked lists. It defines linked lists as a collection of nodes where each node contains a data field and a link to the next node. The summary describes:
Linked lists allow dynamic sizes and efficient insertions/deletions by not requiring shifting of elements, unlike arrays. Common operations on linked lists include insertion, deletion, traversal, searching, and concatenation of lists. Single linked lists contain next pointers, while double linked lists contain both next and previous pointers.
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.
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.
What is DSA ?
What are different types of data structures ?
Primitive and Non Primitive DSA
Arrays
Queue
Stack
Linked List
Memory representation of Linked Lists
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 data structures and linked lists. It provides definitions and examples of different types of linked lists, including:
- Single linked lists, which contain nodes with a data field and a link to the next node.
- Circular linked lists, where the last node links back to the first node, forming a loop.
- Doubly linked lists, where each node contains links to both the previous and next nodes.
- Operations on linked lists such as insertion, deletion, traversal, and searching are also described.
This document discusses different types of data structures, with a focus on linked lists. It defines a linked list as a linear data structure containing nodes where each node has a data element and a link to the next node. The document outlines the basic operations that can be performed on linked lists, including creation, insertion, deletion, traversal, searching, concatenation, and display. It also discusses different types of linked lists like single linked lists, double linked lists, circular linked lists, and circular double linked lists.
This document provides an overview of linked lists including:
- Representation of linked lists in memory using two arrays - one for node information and one for node links
- Common linked list operations like traversing, searching, insertion and deletion
- Different types of linked lists such as doubly linked lists, circular linked lists and header 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
Here are the key steps to insert a new node into a linked list:
1. Check for available memory (node)
2. Create the new node and set its data
3. If inserting at head, update head pointer; else insert after the given node by updating next pointers.
4. Return
The document discusses linked lists, which are a data structure that removes restrictions on array size and element storage that arrays have. Linked lists store elements non-contiguously in memory using nodes that contain data and a pointer to the next node. The document covers terminology, how linked lists are represented in memory, basic operations like traversal, counting nodes, searching, and inserting/deleting nodes. It also discusses different types of linked lists and their applications.
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.
The document discusses three basic data structures - lists, stacks, and queues. It describes lists and their operations like printing, finding elements, inserting, and removing elements. Lists can be implemented using arrays or linked lists. Linked lists allow constant-time insertion and removal by linking nodes through next pointers. The document also provides code for initializing, inserting, and removing elements from a doubly linked list.
This document introduces several common data structures used in computer science, including arrays, linked lists, stacks, queues, trees, and graphs. Arrays store a collection of elements of the same type in a linear order. Linked lists consist of nodes that contain data and links to other nodes, allowing efficient insertion and removal. Stacks and queues are linear data structures where elements can only be added or removed from one end, with stacks following last-in first-out order and queues following first-in first-out order. Trees store hierarchical relationships between elements, and graphs represent relationships between elements without a defined hierarchy.
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 provides information on various data structures and algorithms related to linked lists. It discusses topics like list traversal, searching, insertion, deletion, header linked lists, circular linked lists, and two-way linked lists. Algorithms are provided for traversing, searching, inserting and deleting nodes from singly linked lists, circular linked lists, and two-way linked lists. Applications of linked lists in representing polynomials and sparse matrices are also covered.
The document discusses various algorithms for linked lists including traversal, search, insertion, deletion, and other operations. It provides pseudocode for algorithms to print all nodes in a linked list, search for a node containing a given item, insert a new node at the beginning or after a given node, and delete a node following a given node or containing a given item. It also covers concepts like header linked lists, circular linked lists, two-way linked lists, and using linked lists to represent polynomials and sparse matrices.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
The document discusses linked lists and their implementation in C. It begins with an overview of linked lists, their advantages over arrays, and representation in memory using node structures. It then provides examples of creating a simple linked list with 3 nodes, and functions for inserting and deleting nodes. Different types of linked lists are covered like doubly linked lists, circular linked lists, and their operations. Key points about each type of linked list and operations like insertion, deletion are summarized.
The document discusses various data structures and operations on linked lists. It defines linked lists as a collection of nodes where each node contains a data field and a link to the next node. The summary describes:
Linked lists allow dynamic sizes and efficient insertions/deletions by not requiring shifting of elements, unlike arrays. Common operations on linked lists include insertion, deletion, traversal, searching, and concatenation of lists. Single linked lists contain next pointers, while double linked lists contain both next and previous pointers.
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.
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.
What is DSA ?
What are different types of data structures ?
Primitive and Non Primitive DSA
Arrays
Queue
Stack
Linked List
Memory representation of Linked Lists
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 data structures and linked lists. It provides definitions and examples of different types of linked lists, including:
- Single linked lists, which contain nodes with a data field and a link to the next node.
- Circular linked lists, where the last node links back to the first node, forming a loop.
- Doubly linked lists, where each node contains links to both the previous and next nodes.
- Operations on linked lists such as insertion, deletion, traversal, and searching are also described.
This document discusses different types of data structures, with a focus on linked lists. It defines a linked list as a linear data structure containing nodes where each node has a data element and a link to the next node. The document outlines the basic operations that can be performed on linked lists, including creation, insertion, deletion, traversal, searching, concatenation, and display. It also discusses different types of linked lists like single linked lists, double linked lists, circular linked lists, and circular double linked lists.
This document provides an overview of linked lists including:
- Representation of linked lists in memory using two arrays - one for node information and one for node links
- Common linked list operations like traversing, searching, insertion and deletion
- Different types of linked lists such as doubly linked lists, circular linked lists and header 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
Here are the key steps to insert a new node into a linked list:
1. Check for available memory (node)
2. Create the new node and set its data
3. If inserting at head, update head pointer; else insert after the given node by updating next pointers.
4. Return
The document discusses linked lists, which are a data structure that removes restrictions on array size and element storage that arrays have. Linked lists store elements non-contiguously in memory using nodes that contain data and a pointer to the next node. The document covers terminology, how linked lists are represented in memory, basic operations like traversal, counting nodes, searching, and inserting/deleting nodes. It also discusses different types of linked lists and their applications.
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.
The document discusses three basic data structures - lists, stacks, and queues. It describes lists and their operations like printing, finding elements, inserting, and removing elements. Lists can be implemented using arrays or linked lists. Linked lists allow constant-time insertion and removal by linking nodes through next pointers. The document also provides code for initializing, inserting, and removing elements from a doubly linked list.
This document introduces several common data structures used in computer science, including arrays, linked lists, stacks, queues, trees, and graphs. Arrays store a collection of elements of the same type in a linear order. Linked lists consist of nodes that contain data and links to other nodes, allowing efficient insertion and removal. Stacks and queues are linear data structures where elements can only be added or removed from one end, with stacks following last-in first-out order and queues following first-in first-out order. Trees store hierarchical relationships between elements, and graphs represent relationships between elements without a defined hierarchy.
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 provides information on various data structures and algorithms related to linked lists. It discusses topics like list traversal, searching, insertion, deletion, header linked lists, circular linked lists, and two-way linked lists. Algorithms are provided for traversing, searching, inserting and deleting nodes from singly linked lists, circular linked lists, and two-way linked lists. Applications of linked lists in representing polynomials and sparse matrices are also covered.
The document discusses various algorithms for linked lists including traversal, search, insertion, deletion, and other operations. It provides pseudocode for algorithms to print all nodes in a linked list, search for a node containing a given item, insert a new node at the beginning or after a given node, and delete a node following a given node or containing a given item. It also covers concepts like header linked lists, circular linked lists, two-way linked lists, and using linked lists to represent polynomials and sparse matrices.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
2. Content:
1. Introduction to Linked list,
2. Representation of linked list in memory,
3. Traversing,
4. Searching in Unsorted linked list,
5. Overflow and Underflow,
6. Inserting at the beginning of a list,
7. deleting node following a given Node.
Dayanand Science College Department Of Computer Science 2
3. Introduction to Linked list
• Like arrays, Linked List is a linear data structure.
• Unlike arrays, linked list elements are not stored at a contiguous location;
• the elements are linked using pointers.
101 110 114 117
110 114 117
Dayanand Science College Department Of Computer Science 3
4. Why Linked List?
Arrays can be used to store linear data of similar types, but
arrays have the following limitations.
1) The size of the arrays is fixed: So we must know the upper limit on the number of
elements in advance. Also, generally, the allocated memory is equal to the upper limit
irrespective of the usage.
2) Inserting a new element in an array of elements is expensive because the room has to
be created for the new elements and to create room existing elements have to be shifted.
Dayanand Science College Department Of Computer Science 4
5. For example
• in a system, if we maintain a sorted list of IDs in an array id[].
id[] = [1000, 1010, 1050, 2000, 2040].
• And if we want to insert a new ID 1005, then to maintain the sorted order,
we have to move all the elements after 1000 (excluding 1000).
Deletion is also expensive with arrays until unless some special techniques
are used. For example, to delete 1010 in id[], everything after 1010 has to be
moved.
Dayanand Science College Department Of Computer Science 5
6. Representation:
• A linked list is represented by a pointer to the first node of the linked list.
The first node is called the head. If the linked list is empty, then the value of
the head is NULL.
Each node in a list consists of at least two parts:
1) data
2) Pointer (Or Reference) to the next node
In C, we can represent a node using structures. Below is an example of a
linked list node with integer data.
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7. Representation:
• Let LIST be a linked list. Then LIST will be maintained in memory specified
as follows. First of all, LIST requires two linear arrays we will call them here
INFO and LINK- such that INFO[K] and LINK[K] contain, respectively,
the information part and the nextpointer field of a node LIST. As noted above
LIST also requires a variable name- such as START. START contains the
location of the beginning of the list, and a nextpointer sentinel -denoted by
NULL- which indicate the end of the list. Since the subscripts of the array
INFO and LINK are usually positive, we will choose NULL=0.
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8. • The following example of linked list indicate that the nodes of a list need
not occupy adjacent elements in the array INFO and LINK, and that more
than one list may be maintained in the same linear array INFO and LINK.
However, each list must have its own pointer variable giving the location of
its first node.
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10. Representation
• Above picture is of linked list in memory where each node of the list contains a single character. We can obtain the actual list of characters as
follows.
• Algorithm
• START= 9, so INFO[9]=N is the first character.
• LINK[9]=3, so INFO[3]=O is the second character.
• LINK[3]=6, so INFO[6]= (Blank) is the third character.
• LINK[6]=11, so INFO[11]=E is the fourth character.
• LINK[11]=7, so INFO[7]=X is the fifth character.
• LINK[7]=10, so INFO[10]=I is the sixth character.
• LINK[10]=4, so INFO[4]=T is the seventh character.
• LINK[4]=0, the NULL value, so the List has ended.
• In other words, NO EXIT is the character string.
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11. Types of Linked List
• Following are the various types of linked list.
• Simple Linked List − Item navigation is forward only.
• Doubly Linked List − Items can be navigated forward and backward.
• Circular Linked List − Last item contains link of the first element as next
and the first element has a link to the last element as previous.
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12. Simple Linked List
101 110 114 117
110 114 117
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13. Doubly Linked List
A 15 11 B 17 15 C 19 17 D
11 15 17 19
START
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14. Circular Linked List (Simple)
101 110 114 117
110 114 117 101
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15. Circular Linked List (Double)
A 15 11 B 17 15 C 19 17 D 11
11 15 17 19
START
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16. 2.3 Traversing
A linked list is a linear data structure that needs to be traversed starting from the head node until the
end of the list. Unlike arrays, where random access is possible, linked list requires access to its nodes
through sequential traversal. Traversing a linked list is important in many applications. For example,
we may want to print a list or search for a specific node in the list. Or we may want to perform an
advanced operation on the list as we traverse the list. The algorithm for traversing a list is fairly
trivial.
a. Start with the head of the list. Access the content of the head node if it is not null.
b. Then go to the next node(if exists) and access the node information
c. Continue until no more nodes (that is, you have reached the last node)
Let LIST be a linked list in memory stored in linear array INFO and LINK with START pointing to
the first element and NULL indicating the end of LIST. Suppose we want to traverse LIST in order
to Process each node exactly once. This section presents an algorithm that does so and then uses the
algorithm in some applications.
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17. 101
101 112 120 125
A B C D
112 120 125
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18. Algorithm: 1. Set PTR:=START.[Initializes pointer PTR]
2. Repeat Step 3 and 4 while PTR≠ NULL.
3. Apply PROCESS to INFO[PTR].
4. Set PTR:= LINK[PTR]. [PTR now points to the next node.]
[End of Step 2 loop.]
5. Exit.
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19. Algorithm details
Initialize PTR or START.
Then process INFO[PTR], the information at the first node.
Update PTR by the assignment PTR:=LINK[PTR], so that
PTR points to the second node.
Then Process INFO[PTR], the information at the second node.
Again update PTR by the assignment operator
PTR:=LINK[PTR], and then process INFO[PTR], the
information at the third node.
And so on. Continue until PTR=NULL, which signals the end
of the list.
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20. Traversing Linear Array
• LA- Array, Lower Bound= LB, Upper Bound=UB, S-> Process
each element
• Algorithm: 1) Initialize Counter I=LB
2) Loop (While I<=UB)
3) Apply S to LA[I]
4) I=I+1
5) End Loop
6) Exit
1
2
3
4
LB
UB
5
1
2
3
4
5
I=LB LA[i] *2 I=I+1
1 1*2=2 I=1+1=2
2 2*2=4 I=2+1=3
3 3*2=6 I=3+1=4
4 4*2=8 I=4+1=5
5 5*2=10 I=5+1=6
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21. #include <stdio.h>
#include<conio.h>
void main()
{ int LA[] = {2,4,6,8,9};
int i, n = 5;
printf("The array elements are:n");
for(i = 0; i < n; i++)
{
printf("LA[%d] = %d n", i, LA[i]);
}
getch();
}
Command Prompt
The array elements
are:
LA[0] = 2
LA[1] = 4
LA[2] = 6
LA[3] = 8
LA[4] = 9
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22. 2.4 Searching Unsorted linked list
• Let LIST be a linked list in memory which is not sorted, then one searches for
ITEM in LIST by traversing through the list using a pointer variable PTR and
comparing ITEM with the contents INFO[PTR] of each node, one by one, of
LIST. Before we update the pointer PTR by PTR:=LINK[PTR]
• We require two tests. First we have to check to see whether we have reached the
end of list i.e.
• PTR= NULL
• Then we check to see whether
• INFO[PTR]=ITEM
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23. Algorithm:
SEARCH (INFO, LINK, START, ITEM, LOC)
LIST is a linked list in memory. This algorithm finds the location LOC of the node where
ITEM first appear in LIST, or set LOC=NULL.
set PTR:=START.
Repeat step 3 while PTR ≠ NULL:
If ITEM =INFO[PTR], then:
Set LOC:=PTR, and Exit.
Else:
Set PTR:=LINK[PTR].[PTR now points to the next node.]
[End of IF structure]
[End of step 2 loop]
[Search is unsuccessful.] set LOC:=NULL.
Exit.
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24. • Want to Search For Shree then
101 110 114 117
110 114 117
Amar RAJ Neha Shree
HEAD
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25. Overflow
• Sometimes new data are to be inserted into a data structure but
there is no available space, i.e. the free-storage list is empty. This
situation is usually called overflow.
• The programmer may handle overflow by printing the message
OVERFLOW.
• In such a case, the programmer may then modify the program by
adding space to the underlying arrays.
• Observe that overflow will occur with our linked lists when
AVAIL=NULL and there is an insertion.
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26. UNDERFLOW
• The term underflow refers to the situation where one
wants to delete data from a data structure that is empty.
• The programmer may handle underflow by printing the
message UNDERFLOW.
• Observe that underflow will occur with our linked when
START = NULL and there is a deletion.
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27. Inserting at the beginning of a list,
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31. Question Bank
1. What is Linked list? Explain it with suitable example.
2. Explain the representation of linked list in memory.
3. Explain Traversing of linked list with suitable example.
4. Explain searching in Unsorted linked list.
5. Write a short note on overflow and underflow.
6. Write a procedure for inserting element in a linked list
7. Explain deleting node in a linked list.
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