A sorting algorithm is an algorithm that puts elements of a list in a certain order. The most-used orders are numerical order and lexicographical order
What is sorting algorithm
The bubble sort
The selection sort
The insertion sort
The Quick sort
The Shell Sort
Stack is a collection based on the principle of adding elements and retrieving them in the opposite order
What is STACK?
Stack Operations
Applications
Built-in Stack
Downloadable Resources
Data Structures are the programmatic way of storing data so that data can be used efficiently
Introduction to DSA
Advantages & Disadvantages
Abstract Data Type (ADT)
Linear Array List
Downloadable Resources
Queue is a collection whose elements are added at one end and removed from the other end
What is a Queue
Conceptual View of a Queue
Uses of Queues in Computing
Operations on a Queue
Implementation of a Queue
Applications
Downloadable Resources
Link list is a second most commonly used general purpose storage structures after arrays
What is Link List
Advantages
Disadvantages
Java Implementation of a Link List
Applications
Stack is a collection based on the principle of adding elements and retrieving them in the opposite order
What is STACK?
Stack Operations
Applications
Built-in Stack
Downloadable Resources
Data Structures are the programmatic way of storing data so that data can be used efficiently
Introduction to DSA
Advantages & Disadvantages
Abstract Data Type (ADT)
Linear Array List
Downloadable Resources
Queue is a collection whose elements are added at one end and removed from the other end
What is a Queue
Conceptual View of a Queue
Uses of Queues in Computing
Operations on a Queue
Implementation of a Queue
Applications
Downloadable Resources
Link list is a second most commonly used general purpose storage structures after arrays
What is Link List
Advantages
Disadvantages
Java Implementation of a Link List
Applications
Queues
a. Concept and Definition
b. Queue as an ADT
c. Implementation of Insert and Delete operation of:
• Linear Queue
• Circular Queue
For More:
https://github.com/ashim888/dataStructureAndAlgorithm
http://www.ashimlamichhane.com.np/
Queue is an abstract data structure, somewhat similar to Stacks. Unlike stacks, a queue is open at both its ends. One end is always used to insert data (enqueue) and the other is used to remove data (dequeue). Queue follows First-In-First-Out methodology, i.e., the data item stored first will be accessed first.
Queue is an abstract data structure, somewhat similar to Stacks. Unlike stacks, a queue is open at both its ends. One end is always used to insert data (enqueue) and the other is used to remove data (dequeue). Queue follows First-In-First-Out methodology, i.e., the data item stored first will be accessed first.
Sorting in data structures is a fundamental operation that is crucial for optimizing the efficiency of data retrieval and manipulation. By ordering data elements according to a defined sequence (numerical, lexicographical, etc.), sorting makes it possible to search for elements more quickly than would be possible in an unsorted structure, especially with algorithms like binary search that rely on a sorted array to operate effectively.
In addition, sorting is essential for tasks that require an ordered dataset, such as finding median values, generating frequency counts, or performing range queries. It also lays the groundwork for more complex operations, such as merging datasets, which requires sorted data to be carried out efficiently.
Queues
a. Concept and Definition
b. Queue as an ADT
c. Implementation of Insert and Delete operation of:
• Linear Queue
• Circular Queue
For More:
https://github.com/ashim888/dataStructureAndAlgorithm
http://www.ashimlamichhane.com.np/
Queue is an abstract data structure, somewhat similar to Stacks. Unlike stacks, a queue is open at both its ends. One end is always used to insert data (enqueue) and the other is used to remove data (dequeue). Queue follows First-In-First-Out methodology, i.e., the data item stored first will be accessed first.
Queue is an abstract data structure, somewhat similar to Stacks. Unlike stacks, a queue is open at both its ends. One end is always used to insert data (enqueue) and the other is used to remove data (dequeue). Queue follows First-In-First-Out methodology, i.e., the data item stored first will be accessed first.
Sorting in data structures is a fundamental operation that is crucial for optimizing the efficiency of data retrieval and manipulation. By ordering data elements according to a defined sequence (numerical, lexicographical, etc.), sorting makes it possible to search for elements more quickly than would be possible in an unsorted structure, especially with algorithms like binary search that rely on a sorted array to operate effectively.
In addition, sorting is essential for tasks that require an ordered dataset, such as finding median values, generating frequency counts, or performing range queries. It also lays the groundwork for more complex operations, such as merging datasets, which requires sorted data to be carried out efficiently.
Sorting algorithms in C++
An introduction to sorting algorithm, with details on bubble sort and merge sort algorithms
Computer science principles course
A binary tree is a hierarchical data structure in computer science that consists of nodes connected by edges. Each node in a binary tree has at most two children, referred to as the left child and the right child. The topmost node in a binary tree is called the root.
Here are some key terms and concepts associated with binary trees:
Root: The topmost node in the tree, from which all other nodes are descended.
Node: A fundamental unit of a binary tree that contains data and may have zero, one, or two children nodes.
Parent: A node in the tree that has one or more child nodes.
Child: Nodes that are descendants of a parent node. In a binary tree, a node can have at most two children.
Leaf: A node in the tree that has no children, i.e., it is at the bottom of the tree.
Subtree: A tree formed by a node and its descendants.
Height: The length of the longest path from the root to a leaf. The height of an empty tree is typically defined as -1.
Depth: The length of the path from the root to a particular node.
Binary trees are commonly used in various applications, such as expression trees, binary search trees, and Huffman coding trees. They provide an efficient way to organize and search data, and their recursive nature makes them well-suited for certain algorithms and data manipulations. Understanding binary trees is fundamental to many aspects of computer science and programming.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
2. Syllabus
• Introduction to DSA
• Abstract Data Types
• Arrays
• List Operation Using Arrays
• Recursion
• Stacks
• Queues
• Link List
•Sorting
• Algorithms Analysis
2
3. Sorting
• Sorting is so important and potentially so time
consuming,
• It has been the subject of extensive research in
computer science
• Algorithms for sorting
– The bubble sort,
– The selection sort,
– The insertion sort
– The Quick sort
– The Shell Sort
3
5. Bubble Sort
• Bubble sort is a simple sorting algorithm
• Compares each pair of adjacent items and swaps
them if they are in the wrong order.
• The pass through the list is repeated until no waps
are needed, which indicates that the list is sorted.
• Here are the rules you’re following:
1. Compare two items
2. If the one on the left is taller, swap them.
3. Move one position right.
5
11. Selection Sort
• The selection sort improves on the bubble sort by
reducing the number of swaps necessary from
O(N2) to O(N).
• Unfortunately, the number of comparisons
remains O(N2).
11
16. Insertion Sort
• Insertion sort is a simple sorting algorithm that
builds the final sorted array (or list) one item at a
time.
• It is much less efficient on large lists than more
advanced algorithms such as quicksort, heapsort,
or merge sort.
16
24. Questions
24
1. Identify which of the following is/are true? In each
case justify your answer.
1. In bubble sort and selection sort give O(N2) for the
worst case.
2. Quick sort is more efficacious than the bubble sort.
2. Consider the following array with 10 elements.
Apply “Bubble sort and selection sort” algorithm to
sort this list.
List = [45,82, 25, 94, 50, 60, 78, 32, 80, 93];
3. Implement the bubble sort algorithm and
implement a Java program to sort and print 10
integer values