The document describes the bubble sort algorithm. Bubble sort works by repeatedly stepping through the list to be sorted, comparing each pair of adjacent items and swapping them if they are in the wrong order. The pass through the list is repeated until no swaps are needed, indicating the list is fully sorted. The algorithm gets its name from the way smaller elements "bubble" to the top of the list through successive swaps.
Bubble sort is an algorithm that sorts a list of numbers by repeatedly swapping adjacent elements that are out of order. It works by comparing adjacent elements and swapping them if they are in the wrong order, "bubbling" the largest values to the end of the list over multiple iterations. The algorithm iterates through the list N-1 times, where N is the number of elements, to fully sort the list. It uses pairwise comparisons and swapping to move the largest remaining value to its correct place with each pass.
The document describes the bubble sort algorithm. Bubble sort works by repeatedly swapping adjacent elements that are in the wrong order until the list is fully sorted. Each pass of bubble sort places the largest remaining element in its correct place. It takes n-1 passes to fully sort a list of n elements, with each pass requiring fewer comparisons.
The document discusses sorting algorithms like bubble sort. Bubble sort works by repeatedly swapping adjacent elements that are in the wrong order until the array is fully sorted. It compares each adjacent pair of elements and swaps them if they are in the wrong order. This process is repeated until no swaps are needed, resulting in a sorted array. The document provides pseudocode and examples to illustrate how bubble sort functions in each pass through the array.
The document describes the bubble sort algorithm through a series of animated examples. It shows the step-by-step process of sorting a list of numbers from largest to smallest by repeatedly swapping adjacent elements that are out of order until no swaps are needed.
The document describes the bubble sort algorithm. Bubble sort works by repeatedly swapping adjacent elements that are in the wrong order until the array is fully sorted. It does this by making multiple passes through the array, comparing adjacent elements on each pass and swapping them if they are in the wrong order. The document provides an example of applying bubble sort to an array by making multiple passes and swapping elements until the array is sorted. It also includes sample C++ code to implement bubble sort.
Bubble sort/ Exchange sort Algorithmdata structures and algorithms-2018,bs it...Muhammad Abuzar
The document describes the bubble sort algorithm. Bubble sort works by repeatedly stepping through the list to be sorted, comparing each pair of adjacent items and swapping them if they are in the wrong order. This process is repeated until the list is sorted. The algorithm uses a boolean flag to check if any swaps occurred, and stops early if the list is already sorted after a pass with no swaps.
The document describes the bubble sort algorithm. Bubble sort works by comparing adjacent elements and swapping them if they are in the wrong order. This is repeated for multiple passes through the list until it is fully sorted. With each pass, the number of comparisons needed decreases as more elements reach their correct position. The algorithm knows the list is fully sorted when a pass is completed without any swaps.
Management is concerned that workers create more product defects at the very beginning and end of their shifts. A scatter diagram was constructed using defect data from last week which shows higher defects during morning and evening hours, forming a U-curve. This justifies management's belief that defects are higher at the start and end of the day and the week. The manager should focus on Mondays when the most defects occur and the start and end of each workday when defects are more common.
Bubble sort is an algorithm that sorts a list of numbers by repeatedly swapping adjacent elements that are out of order. It works by comparing adjacent elements and swapping them if they are in the wrong order, "bubbling" the largest values to the end of the list over multiple iterations. The algorithm iterates through the list N-1 times, where N is the number of elements, to fully sort the list. It uses pairwise comparisons and swapping to move the largest remaining value to its correct place with each pass.
The document describes the bubble sort algorithm. Bubble sort works by repeatedly swapping adjacent elements that are in the wrong order until the list is fully sorted. Each pass of bubble sort places the largest remaining element in its correct place. It takes n-1 passes to fully sort a list of n elements, with each pass requiring fewer comparisons.
The document discusses sorting algorithms like bubble sort. Bubble sort works by repeatedly swapping adjacent elements that are in the wrong order until the array is fully sorted. It compares each adjacent pair of elements and swaps them if they are in the wrong order. This process is repeated until no swaps are needed, resulting in a sorted array. The document provides pseudocode and examples to illustrate how bubble sort functions in each pass through the array.
The document describes the bubble sort algorithm through a series of animated examples. It shows the step-by-step process of sorting a list of numbers from largest to smallest by repeatedly swapping adjacent elements that are out of order until no swaps are needed.
The document describes the bubble sort algorithm. Bubble sort works by repeatedly swapping adjacent elements that are in the wrong order until the array is fully sorted. It does this by making multiple passes through the array, comparing adjacent elements on each pass and swapping them if they are in the wrong order. The document provides an example of applying bubble sort to an array by making multiple passes and swapping elements until the array is sorted. It also includes sample C++ code to implement bubble sort.
Bubble sort/ Exchange sort Algorithmdata structures and algorithms-2018,bs it...Muhammad Abuzar
The document describes the bubble sort algorithm. Bubble sort works by repeatedly stepping through the list to be sorted, comparing each pair of adjacent items and swapping them if they are in the wrong order. This process is repeated until the list is sorted. The algorithm uses a boolean flag to check if any swaps occurred, and stops early if the list is already sorted after a pass with no swaps.
The document describes the bubble sort algorithm. Bubble sort works by comparing adjacent elements and swapping them if they are in the wrong order. This is repeated for multiple passes through the list until it is fully sorted. With each pass, the number of comparisons needed decreases as more elements reach their correct position. The algorithm knows the list is fully sorted when a pass is completed without any swaps.
Management is concerned that workers create more product defects at the very beginning and end of their shifts. A scatter diagram was constructed using defect data from last week which shows higher defects during morning and evening hours, forming a U-curve. This justifies management's belief that defects are higher at the start and end of the day and the week. The manager should focus on Mondays when the most defects occur and the start and end of each workday when defects are more common.
The document describes the binary search algorithm. It finds the index of a target value in a sorted array. It maintains the invariant that the value is between the array elements at indices lo and hi. The algorithm narrows the range by comparing the middle element to the target on each iteration.
A BCD adder is used to perform addition on binary-coded decimal (BCD) numbers. It operates in two steps: 1) add the two BCD numbers using binary addition rules, 2) if the 4-bit sum is less than or equal to 9, it is a valid BCD number, otherwise a correction of adding 0110 must be performed. The BCD adder uses an ordinary 4-bit binary adder when the sum is less than 10, and adds the correction value of 6 to the result when the sum is greater than 9. It determines when the sum is greater than 9 by checking if the carry bit C from the binary addition is equal to 1.
The selection sort algorithm improves upon the bubble sort by identifying and moving the minimum value in an array to its sorted position during each pass through the array. It works by finding the smallest value, swapping it with the first element, then finding the next smallest and swapping it with the second, continuing until the array is fully sorted. This usually requires fewer swaps than the bubble sort because items are moved directly into their final positions.
The document describes the bubble sort algorithm. Bubble sort works by repeatedly comparing adjacent elements in an array and swapping them if they are in the wrong order until no swaps are needed, indicating the list is fully sorted. Pseudocode and code examples in Java are provided to illustrate what bubble sort code looks like. The document notes that bubble sort would be used to sort data numerically or alphabetically in either ascending or descending order.
This document presents information about adders and binary coded decimal (BCD) adders. It defines half adders and full adders, which are computational devices that add binary digits and produce sum and carry outputs. It also explains what a BCD adder is and how it adds two 4-bit BCD digits while handling carries such that the result is always a valid BCD number between 0-9. The document provides examples of BCD addition and conversions between binary and BCD formats. It concludes with some applications of BCD adders in areas like digital displays and counters.
Describes the operation of optimized sorting algorithm bubblesort. The traditional bubblesort algorithm is also described. The time complexity is also described in detail. In the presentation, all content is provided with through examples.
This document discusses the complexity of algorithms and the tradeoff between algorithm cost and time. It defines algorithm complexity as a function of input size that measures the time and space used by an algorithm. Different complexity classes are described such as polynomial, sub-linear, and exponential time. Examples are given to find the complexity of bubble sort and linear search algorithms. The concept of space-time tradeoffs is introduced, where using more space can reduce computation time. Genetic algorithms are proposed to efficiently solve large-scale construction time-cost tradeoff problems.
Bubble sort is a simple sorting algorithm that works by repeatedly swapping adjacent elements if they are in the wrong order until the list is fully sorted. It is best for sorting small lists or lists that are nearly sorted already. Though simple, it is not efficient for large data sets as its runtime is quadratic. The example demonstrates bubble sort by visually swapping numbers in the wrong order until the list is sorted.
The document discusses a 4-bit binary coded decimal (BCD) adder. A BCD adder can add two 4-bit BCD numbers and produce a 4-bit BCD sum. If the sum exceeds 9 in decimal, a carry is generated. The document also mentions full adders, 7-segment displays, and 74LS47 BCD to 7-segment decoder/driver ICs. It provides an explanation of why 6 is added to BCD sums that exceed 9.
Bubble sort is an algorithm that sorts a collection of elements by repeatedly traversing the list from the first element to the last, comparing adjacent elements and swapping them if they are in the wrong order. This process is repeated until the list is fully sorted, requiring a number of passes equal to the size of the list minus one. The algorithm uses a flag to check if any swapping occurred on a given pass, and can stop early if the list is already sorted after an initial pass.
Bubble sort is an algorithm that sorts a collection of elements by repeatedly traversing the list from the first element to the last, comparing adjacent elements and swapping them if they are in the wrong order. This process is repeated until the list is fully sorted, requiring a number of passes equal to the size of the list minus one. The algorithm uses a flag to check if any swapping occurred on a given pass, and can stop early if the list is already sorted after an initial pass.
Bubble sort is an algorithm that sorts a collection of elements by repeatedly traversing the list from the first element to the last, comparing adjacent elements and swapping them if they are in the wrong order. This process is repeated until the list is fully sorted, requiring a number of passes equal to the size of the list minus one. The algorithm uses a flag to check if any swapping occurred on a given pass, and can stop early if the list is already sorted after an initial pass.
The document discusses sorting algorithms, specifically bubble sort. It provides an overview of sorting, why it is important, and common sorting algorithms like bubble sort, selection sort, and insertion sort. It then goes into detail on how bubble sort works, providing pseudocode and examples to show how it iteratively "bubbles up" the largest values to the end of the array after each pass through the elements.
The document describes the bubble sort algorithm. Bubble sort works by comparing adjacent elements and swapping them into ascending order. This process is repeated, with each iteration bubbling the largest remaining element to its correct position. The algorithm has an outer loop that repeats the bubbling process N-1 times to fully sort an array of N elements. Each iteration reduces the number of comparisons needed by bubbling one element into place. Though simple, bubble sort is not very efficient for large arrays due to its quadratic time complexity.
The document appears to describe the process of topological sorting of nodes in a graph based on their indegrees. It starts with nodes labeled 15, 22, etc and calculates their indegrees. It then sequentially removes nodes with indegree of 0 and adds them to a queue, until the queue is empty, providing the topological sorted order of the nodes.
This document discusses different sorting techniques used in data structures. It describes sorting as segregating items into groups according to specified criteria. It then explains various sorting algorithms like bubble sort, selection sort, insertion sort, merge sort, and quick sort. For bubble sort, it provides an example to demonstrate how it works by exchanging elements to push larger elements to the end of the list over multiple passes.
The document describes a Spanish-English flashcard program for learning clothing vocabulary. It contains 14 flashcards with Spanish clothing items on one side and English translations on the other side, such as "la gorra" meaning "the hat". Navigation buttons are provided at the top and right of the interface to flip through the flashcards in any order.
The document describes a Spanish-English flashcard program for learning clothing vocabulary. It contains 14 flashcards that provide the Spanish word on one side and the English translation on the other side. Flashcards include common clothing items like hat, jeans, shirt, shoes, dress, pants, blouse, bag, wristwatch, skirt, button-down shirt, sweater, socks, and jacket. Users can flip through the cards individually or use controls to move between them.
Heapsort is an O(n log n) sorting algorithm that uses a heap data structure. It works by first converting the input array into a max heap, where the largest element is stored at the root. It then repeatedly removes the largest element from the heap and inserts it into the sorted end of the array. This process continues until the heap is empty, resulting in a fully sorted array. The document provides detailed explanations and examples of how to construct a max heap from an array and how to remove and re-heapify elements during the sorting process.
This document contains examples of subtracting fractions with borrowing. It provides step-by-step workings for subtracting fractions such as 1/6 - 5/6, 4/9 - 1/6, 7/6 - 2/3, 7/3 - 3/5, 5 - 2/7, and 6/18 - 1/3. The worked solutions simplify the fractions and show the subtraction process, resulting in equivalent fractions or whole numbers.
The document describes the bubble sort algorithm. Bubble sort works by repeatedly comparing adjacent pairs of elements and swapping them if they are in the wrong order, causing the larger elements to "bubble" to the end of the list. This process is repeated, each time placing the next largest element in its correct place, until the list is fully sorted after a maximum of N-1 passes where N is the number of elements. The number of comparisons reduces each pass as correctly placed elements no longer need to be compared.
The document describes the binary search algorithm. It finds the index of a target value in a sorted array. It maintains the invariant that the value is between the array elements at indices lo and hi. The algorithm narrows the range by comparing the middle element to the target on each iteration.
A BCD adder is used to perform addition on binary-coded decimal (BCD) numbers. It operates in two steps: 1) add the two BCD numbers using binary addition rules, 2) if the 4-bit sum is less than or equal to 9, it is a valid BCD number, otherwise a correction of adding 0110 must be performed. The BCD adder uses an ordinary 4-bit binary adder when the sum is less than 10, and adds the correction value of 6 to the result when the sum is greater than 9. It determines when the sum is greater than 9 by checking if the carry bit C from the binary addition is equal to 1.
The selection sort algorithm improves upon the bubble sort by identifying and moving the minimum value in an array to its sorted position during each pass through the array. It works by finding the smallest value, swapping it with the first element, then finding the next smallest and swapping it with the second, continuing until the array is fully sorted. This usually requires fewer swaps than the bubble sort because items are moved directly into their final positions.
The document describes the bubble sort algorithm. Bubble sort works by repeatedly comparing adjacent elements in an array and swapping them if they are in the wrong order until no swaps are needed, indicating the list is fully sorted. Pseudocode and code examples in Java are provided to illustrate what bubble sort code looks like. The document notes that bubble sort would be used to sort data numerically or alphabetically in either ascending or descending order.
This document presents information about adders and binary coded decimal (BCD) adders. It defines half adders and full adders, which are computational devices that add binary digits and produce sum and carry outputs. It also explains what a BCD adder is and how it adds two 4-bit BCD digits while handling carries such that the result is always a valid BCD number between 0-9. The document provides examples of BCD addition and conversions between binary and BCD formats. It concludes with some applications of BCD adders in areas like digital displays and counters.
Describes the operation of optimized sorting algorithm bubblesort. The traditional bubblesort algorithm is also described. The time complexity is also described in detail. In the presentation, all content is provided with through examples.
This document discusses the complexity of algorithms and the tradeoff between algorithm cost and time. It defines algorithm complexity as a function of input size that measures the time and space used by an algorithm. Different complexity classes are described such as polynomial, sub-linear, and exponential time. Examples are given to find the complexity of bubble sort and linear search algorithms. The concept of space-time tradeoffs is introduced, where using more space can reduce computation time. Genetic algorithms are proposed to efficiently solve large-scale construction time-cost tradeoff problems.
Bubble sort is a simple sorting algorithm that works by repeatedly swapping adjacent elements if they are in the wrong order until the list is fully sorted. It is best for sorting small lists or lists that are nearly sorted already. Though simple, it is not efficient for large data sets as its runtime is quadratic. The example demonstrates bubble sort by visually swapping numbers in the wrong order until the list is sorted.
The document discusses a 4-bit binary coded decimal (BCD) adder. A BCD adder can add two 4-bit BCD numbers and produce a 4-bit BCD sum. If the sum exceeds 9 in decimal, a carry is generated. The document also mentions full adders, 7-segment displays, and 74LS47 BCD to 7-segment decoder/driver ICs. It provides an explanation of why 6 is added to BCD sums that exceed 9.
Bubble sort is an algorithm that sorts a collection of elements by repeatedly traversing the list from the first element to the last, comparing adjacent elements and swapping them if they are in the wrong order. This process is repeated until the list is fully sorted, requiring a number of passes equal to the size of the list minus one. The algorithm uses a flag to check if any swapping occurred on a given pass, and can stop early if the list is already sorted after an initial pass.
Bubble sort is an algorithm that sorts a collection of elements by repeatedly traversing the list from the first element to the last, comparing adjacent elements and swapping them if they are in the wrong order. This process is repeated until the list is fully sorted, requiring a number of passes equal to the size of the list minus one. The algorithm uses a flag to check if any swapping occurred on a given pass, and can stop early if the list is already sorted after an initial pass.
Bubble sort is an algorithm that sorts a collection of elements by repeatedly traversing the list from the first element to the last, comparing adjacent elements and swapping them if they are in the wrong order. This process is repeated until the list is fully sorted, requiring a number of passes equal to the size of the list minus one. The algorithm uses a flag to check if any swapping occurred on a given pass, and can stop early if the list is already sorted after an initial pass.
The document discusses sorting algorithms, specifically bubble sort. It provides an overview of sorting, why it is important, and common sorting algorithms like bubble sort, selection sort, and insertion sort. It then goes into detail on how bubble sort works, providing pseudocode and examples to show how it iteratively "bubbles up" the largest values to the end of the array after each pass through the elements.
The document describes the bubble sort algorithm. Bubble sort works by comparing adjacent elements and swapping them into ascending order. This process is repeated, with each iteration bubbling the largest remaining element to its correct position. The algorithm has an outer loop that repeats the bubbling process N-1 times to fully sort an array of N elements. Each iteration reduces the number of comparisons needed by bubbling one element into place. Though simple, bubble sort is not very efficient for large arrays due to its quadratic time complexity.
The document appears to describe the process of topological sorting of nodes in a graph based on their indegrees. It starts with nodes labeled 15, 22, etc and calculates their indegrees. It then sequentially removes nodes with indegree of 0 and adds them to a queue, until the queue is empty, providing the topological sorted order of the nodes.
This document discusses different sorting techniques used in data structures. It describes sorting as segregating items into groups according to specified criteria. It then explains various sorting algorithms like bubble sort, selection sort, insertion sort, merge sort, and quick sort. For bubble sort, it provides an example to demonstrate how it works by exchanging elements to push larger elements to the end of the list over multiple passes.
The document describes a Spanish-English flashcard program for learning clothing vocabulary. It contains 14 flashcards with Spanish clothing items on one side and English translations on the other side, such as "la gorra" meaning "the hat". Navigation buttons are provided at the top and right of the interface to flip through the flashcards in any order.
The document describes a Spanish-English flashcard program for learning clothing vocabulary. It contains 14 flashcards that provide the Spanish word on one side and the English translation on the other side. Flashcards include common clothing items like hat, jeans, shirt, shoes, dress, pants, blouse, bag, wristwatch, skirt, button-down shirt, sweater, socks, and jacket. Users can flip through the cards individually or use controls to move between them.
Heapsort is an O(n log n) sorting algorithm that uses a heap data structure. It works by first converting the input array into a max heap, where the largest element is stored at the root. It then repeatedly removes the largest element from the heap and inserts it into the sorted end of the array. This process continues until the heap is empty, resulting in a fully sorted array. The document provides detailed explanations and examples of how to construct a max heap from an array and how to remove and re-heapify elements during the sorting process.
This document contains examples of subtracting fractions with borrowing. It provides step-by-step workings for subtracting fractions such as 1/6 - 5/6, 4/9 - 1/6, 7/6 - 2/3, 7/3 - 3/5, 5 - 2/7, and 6/18 - 1/3. The worked solutions simplify the fractions and show the subtraction process, resulting in equivalent fractions or whole numbers.
The document describes the bubble sort algorithm. Bubble sort works by repeatedly comparing adjacent pairs of elements and swapping them if they are in the wrong order, causing the larger elements to "bubble" to the end of the list. This process is repeated, each time placing the next largest element in its correct place, until the list is fully sorted after a maximum of N-1 passes where N is the number of elements. The number of comparisons reduces each pass as correctly placed elements no longer need to be compared.
This document appears to be a set of German-English flashcards containing clothing vocabulary words. There are 14 flashcards that show an English or picture term on one side and the German translation on the flip side. The flashcards can be navigated through using control buttons to flip between the front and back or move through the deck.
All types of Sorting logic.Some algorithms (selection, bubble, heapsort) work by moving elements to their final position, one at a time. You sort an array of size N, put 1 item in place, and continue sorting an array of size N – 1 (heapsort is slightly different).
Some algorithms (insertion, quicksort, counting, radix) put items into a temporary position, close(r) to their final position. You rescan, moving items closer to the final position with each iteration.
One technique is to start with a “sorted list” of one element, and merge unsorted items into it, one at a time.
The document describes the bubble sort, merge sort, and quick sort algorithms. Bubble sort has a time complexity of O(n^2) as it may require up to n^2 comparisons in the worst case. Merge sort has a time complexity of O(nlogn) as it divides the list into halves recursively until single elements remain, then merges the sorted halves. Quick sort also has O(nlogn) time as it partitions the list around a pivot element, recursively sorts sublists, and merges the results.
Radix sort is a sorting algorithm that sorts numbers by their individual digits by making multiple passes over the data. It works by doing the following:
1) Find the largest number to determine the number of passes needed for the number of digits.
2) Make one pass for each place value, starting with the ones place.
3) Count the number of objects with each digit in the current place value and use this to index the numbers into output arrays.
4) Return the sorted numbers after making passes for each place value.
Quick sort uses a divide-and-conquer approach to sort a list. It works by selecting a pivot element, partitioning the list into elements less than, equal to, and greater than the pivot, and then recursively sorting the sub-lists. The example shows quick sort being applied to a list of numbers, with the pivot being swapped with other elements to partition the list into sorted sub-lists on each iteration.
This document discusses different sorting techniques used in data structures. It begins by defining sorting as segregating items into groups according to specified criteria. Examples of sorted data include dictionaries, file directories, indexes of books, bank statements, event schedules, and CD collections. The document then reviews the time and space complexity of various primary sorting algorithms. It proceeds to describe several specific sorting algorithms - Bubble Sort, Selection Sort, and Insertion Sort - and provides examples of how each algorithm sorts a list of numbers.
The document discusses binary heaps and algorithms for building, inserting, and deleting elements from heaps. It begins by defining min-heaps and max-heaps, and the heap property that parent nodes are smaller than child nodes in min-heaps and larger in max-heaps. It then covers algorithms for inserting new elements by placing them at the bottom and bubbling up, deleting the minimum/maximum element by replacing it with the last element and bubbling down. The document concludes by explaining that building a heap from a list of elements can be done in linear time by placing elements in an array and percolating them down level-by-level.
The document discusses two types of divine revelations in Islam - spoken and unspoken. It defines hadith and distinguishes it from sunnah. Sunnah refers to the model behavior of the Prophet Muhammad whereas hadith can include narrations abrogated or specific to the Prophet. The document argues that sunnah is necessary for understanding the Quran and outlines three methods used to preserve hadith: memorization, practice, and documentation. It also discusses categories of hadith authenticity and asserts that dismissing all weak hadith denies the entire body of hadith.
The document discusses the concept of ideology and the ideology behind the creation of Pakistan. It provides definitions of ideology from dictionaries as a systematic body of concepts about human life or culture and a sociopolitical program. It then discusses the key principles of common religion, culture, causes and dedication that unite an ideology. The document outlines the religious, cultural and social differences between Hindus and Muslims that led proponents of the Two-Nation Theory like Iqbal and Jinnah to argue that Hindus and Muslims constitute two distinct nations requiring separate homelands. This ideology ultimately led to the creation of Pakistan as the first modern Islamic ideological state.
The document discusses the main subjects and themes covered in the Quran. It outlines four main headings: beliefs, commandments, stories, and examples/parables. Under beliefs, it discusses the main Islamic beliefs of prophethood, the hereafter, oneness of God, and arguments supporting these beliefs through logical, recorded, observational, and experimental evidence. It then discusses the three kinds of commandments in the Quran regarding rights of God, rights of people, and those concerning both. It provides historical context for prohibitions on alcohol. It also briefly outlines the stories of prophets and past nations told in the Quran and their purpose. Finally, it provides two examples of parables found in the Quran.
The document discusses the benefits of waking up early, citing both religious and practical reasons. It notes that the Prophet Muhammad (peace be upon him) encouraged waking up early and sending out troops and caravans at the beginning of the day. Waking up 1.5 hours earlier each day can provide an additional 68 days of productive time per year. It also profiles successful business leaders and entrepreneurs like Sam Walton who founded Walmart, noting that he was known for starting work very early in the morning.
- The Muslim rule in India began in 712 CE with the arrival of Muhammad bin Qasim, who established Islamic rule in the subcontinent. Major Muslim dynasties that ruled parts of India included the Delhi Sultanate and the Mughal Empire.
- The Mughal Empire rose to power in 1526 when Babur defeated the Delhi Sultanate at Panipat and went on to rule northern India for over 200 years. Major Mughal emperors included Akbar, Jahangir, Shah Jahan, and Aurangzeb. The empire started declining after Aurangzeb's death in 1707.
- The British East India Company established trading posts in India in the early
The document discusses the concept of "Wahi" or divine revelation in Islam. It defines Wahi as God's divine message conveyed to prophets. There are three kinds of Wahi - direct inspiration in the heart or consciousness, direct discourse with God, and revelation through angels. The revelation received by Prophet Muhammad came in several forms, including ringing sounds, through the angel Gabriel, in dreams, and direct conversation with God. The document also discusses angels, their characteristics like being made of light and worshipping God continuously, and Sir Syed Ahmed Khan's reinterpretation of some Islamic concepts like angels in scientific terms.
This document provides guidelines for a PIS project, instructing students to identify Pakistan's worst problem and its causes, supported by unique facts and figures. It advises to discuss the problem's consequences and present practical Quran/Sunnah-based solutions. Students must support every part of their report with concrete references, and include references to 5 Islamic studies books and 5 Pakistan studies books. Reports will be negatively marked for plagiarism, and students must present a 5-7 slide summary.
This document discusses various topics related to the concept of God in Islam, including atheism, polytheism, monotheism, attributes of God, and worship of God. It defines atheism as the belief that there is no God, and notes that some argue there must be a creator for all things. Polytheism is defined as the belief in many gods, but this is argued to not make logical sense. Monotheism and the belief in one supreme God who takes all decisions is presented as the most rational view. The document also outlines some of the key attributes of God like life, hearing, seeing, knowledge, and will. Finally, it discusses how Islam encourages balance between spiritual and worldly matters, and developing
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!"
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) CurriculumMJDuyan
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 𝟏)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐄𝐏𝐏 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐍𝐚𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐒𝐜𝐨𝐩𝐞 𝐨𝐟 𝐚𝐧 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.
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ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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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.
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
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.
2. Sorting
• Sorting takes an unordered collection and
makes it an ordered one.
512354277 101
1 2 3 4 5 6
5 12 35 42 77 101
1 2 3 4 5 6
3. "Bubbling Up" the Largest Element
• Traverse a collection of elements
– Move from the front to the end
– “Bubble” the largest value to the end using
pair-wise comparisons and swapping
512354277 101
1 2 3 4 5 6
4. "Bubbling Up" the Largest Element
• Traverse a collection of elements
– Move from the front to the end
– “Bubble” the largest value to the end using
pair-wise comparisons and swapping
512354277 101
1 2 3 4 5 6
Swap42 77
5. "Bubbling Up" the Largest Element
• Traverse a collection of elements
– Move from the front to the end
– “Bubble” the largest value to the end using
pair-wise comparisons and swapping
512357742 101
1 2 3 4 5 6
Swap35 77
6. "Bubbling Up" the Largest Element
• Traverse a collection of elements
– Move from the front to the end
– “Bubble” the largest value to the end using
pair-wise comparisons and swapping
512773542 101
1 2 3 4 5 6
Swap12 77
7. "Bubbling Up" the Largest Element
• Traverse a collection of elements
– Move from the front to the end
– “Bubble” the largest value to the end using
pair-wise comparisons and swapping
577123542 101
1 2 3 4 5 6
No need to swap
8. "Bubbling Up" the Largest Element
• Traverse a collection of elements
– Move from the front to the end
– “Bubble” the largest value to the end using
pair-wise comparisons and swapping
577123542 101
1 2 3 4 5 6
Swap5 101
9. "Bubbling Up" the Largest Element
• Traverse a collection of elements
– Move from the front to the end
– “Bubble” the largest value to the end using
pair-wise comparisons and swapping
77123542 5
1 2 3 4 5 6
101
Largest value correctly placed
10. The “Bubble Up” Algorithm
index <- 1
last_compare_at <- n – 1
loop
exitif(index > last_compare_at)
if(A[index] > A[index + 1]) then
Swap(A[index], A[index + 1])
endif
index <- index + 1
endloop
11. Items of Interest
• Notice that only the largest value is
correctly placed
• All other values are still out of order
• So we need to repeat this process
77123542 5
1 2 3 4 5 6
101
Largest value correctly placed
34. After First Pass of Outer Loop
331445 6 67 4223 98
1 2 3 4 5 6 7 8
to_do
index
7
8
N 8
Finished first “Bubble Up”
did_swap true
35. The Second “Bubble Up”
331445 6 67 4223 98
1 2 3 4 5 6 7 8
to_do
index
6
1
N 8 did_swap false
36. The Second “Bubble Up”
331445 6 67 4223 98
1 2 3 4 5 6 7 8
to_do
index
6
1
N 8 did_swap false
No Swap
37. The Second “Bubble Up”
331445 6 67 4223 98
1 2 3 4 5 6 7 8
to_do
index
6
2
N 8 did_swap false
38. The Second “Bubble Up”
331445 6 67 4223 98
1 2 3 4 5 6 7 8
to_do
index
6
2
N 8 did_swap false
Swap
39. The Second “Bubble Up”
334514 6 67 4223 98
1 2 3 4 5 6 7 8
to_do
index
6
2
N 8 did_swap true
Swap
40. The Second “Bubble Up”
334514 6 67 4223 98
1 2 3 4 5 6 7 8
to_do
index
6
3
N 8 did_swap true
41. The Second “Bubble Up”
334514 6 67 4223 98
1 2 3 4 5 6 7 8
to_do
index
6
3
N 8 did_swap true
Swap
42. The Second “Bubble Up”
33614 45 67 4223 98
1 2 3 4 5 6 7 8
to_do
index
6
3
N 8 did_swap true
Swap
43. The Second “Bubble Up”
33614 45 67 4223 98
1 2 3 4 5 6 7 8
to_do
index
6
4
N 8 did_swap true
44. The Second “Bubble Up”
33614 45 67 4223 98
1 2 3 4 5 6 7 8
to_do
index
6
4
N 8 did_swap true
No Swap
45. The Second “Bubble Up”
33614 45 67 4223 98
1 2 3 4 5 6 7 8
to_do
index
6
5
N 8 did_swap true
46. The Second “Bubble Up”
33614 45 67 4223 98
1 2 3 4 5 6 7 8
to_do
index
6
5
N 8 did_swap true
Swap
47. The Second “Bubble Up”
67614 45 33 4223 98
1 2 3 4 5 6 7 8
to_do
index
6
5
N 8 did_swap true
Swap
48. The Second “Bubble Up”
67614 45 33 4223 98
1 2 3 4 5 6 7 8
to_do
index
6
6
N 8 did_swap true
49. The Second “Bubble Up”
67614 45 33 4223 98
1 2 3 4 5 6 7 8
to_do
index
6
6
N 8 did_swap true
Swap
50. The Second “Bubble Up”
42614 45 33 6723 98
1 2 3 4 5 6 7 8
to_do
index
6
6
N 8 did_swap true
Swap
51. After Second Pass of Outer Loop
42614 45 33 6723 98
1 2 3 4 5 6 7 8
to_do
index
6
7
N 8 did_swap true
Finished second “Bubble Up”
52. The Third “Bubble Up”
42614 45 33 6723 98
1 2 3 4 5 6 7 8
to_do
index
5
1
N 8 did_swap false
53. The Third “Bubble Up”
42614 45 33 6723 98
1 2 3 4 5 6 7 8
to_do
index
5
1
N 8 did_swap false
Swap
54. The Third “Bubble Up”
42623 45 33 6714 98
1 2 3 4 5 6 7 8
to_do
index
5
1
N 8 did_swap true
Swap
55. The Third “Bubble Up”
42623 45 33 6714 98
1 2 3 4 5 6 7 8
to_do
index
5
2
N 8 did_swap true
56. The Third “Bubble Up”
42623 45 33 6714 98
1 2 3 4 5 6 7 8
to_do
index
5
2
N 8 did_swap true
Swap
57. The Third “Bubble Up”
42236 45 33 6714 98
1 2 3 4 5 6 7 8
to_do
index
5
2
N 8 did_swap true
Swap
58. The Third “Bubble Up”
42236 45 33 6714 98
1 2 3 4 5 6 7 8
to_do
index
5
3
N 8 did_swap true
59. The Third “Bubble Up”
42236 45 33 6714 98
1 2 3 4 5 6 7 8
to_do
index
5
3
N 8 did_swap true
No Swap
60. The Third “Bubble Up”
42236 45 33 6714 98
1 2 3 4 5 6 7 8
to_do
index
5
4
N 8 did_swap true
61. The Third “Bubble Up”
42236 45 33 6714 98
1 2 3 4 5 6 7 8
to_do
index
5
4
N 8 did_swap true
Swap
62. The Third “Bubble Up”
42236 33 45 6714 98
1 2 3 4 5 6 7 8
to_do
index
5
4
N 8 did_swap true
Swap
63. The Third “Bubble Up”
42236 33 45 6714 98
1 2 3 4 5 6 7 8
to_do
index
5
5
N 8 did_swap true
64. The Third “Bubble Up”
42236 33 45 6714 98
1 2 3 4 5 6 7 8
to_do
index
5
5
N 8 did_swap true
Swap
65. The Third “Bubble Up”
45236 33 42 6714 98
1 2 3 4 5 6 7 8
to_do
index
5
5
N 8 did_swap true
Swap
66. After Third Pass of Outer Loop
45236 33 42 6714 98
1 2 3 4 5 6 7 8
to_do
index
5
6
N 8 did_swap true
Finished third “Bubble Up”
67. The Fourth “Bubble Up”
45236 33 42 6714 98
1 2 3 4 5 6 7 8
to_do
index
4
1
N 8 did_swap false
68. The Fourth “Bubble Up”
45236 33 42 6714 98
1 2 3 4 5 6 7 8
to_do
index
4
1
N 8 did_swap false
Swap
69. The Fourth “Bubble Up”
452314 33 42 676 98
1 2 3 4 5 6 7 8
to_do
index
4
1
N 8 did_swap true
Swap
70. The Fourth “Bubble Up”
452314 33 42 676 98
1 2 3 4 5 6 7 8
to_do
index
4
2
N 8 did_swap true
71. The Fourth “Bubble Up”
452314 33 42 676 98
1 2 3 4 5 6 7 8
to_do
index
4
2
N 8 did_swap true
No Swap
72. The Fourth “Bubble Up”
452314 33 42 676 98
1 2 3 4 5 6 7 8
to_do
index
4
3
N 8 did_swap true
73. The Fourth “Bubble Up”
452314 33 42 676 98
1 2 3 4 5 6 7 8
to_do
index
4
3
N 8 did_swap true
No Swap
74. The Fourth “Bubble Up”
452314 33 42 676 98
1 2 3 4 5 6 7 8
to_do
index
4
4
N 8 did_swap true
75. The Fourth “Bubble Up”
452314 33 42 676 98
1 2 3 4 5 6 7 8
to_do
index
4
4
N 8 did_swap true
No Swap
76. After Fourth Pass of Outer Loop
452314 33 42 676 98
1 2 3 4 5 6 7 8
to_do
index
4
5
N 8 did_swap true
Finished fourth “Bubble Up”
77. The Fifth “Bubble Up”
452314 33 42 676 98
1 2 3 4 5 6 7 8
to_do
index
3
1
N 8 did_swap false
78. The Fifth “Bubble Up”
452314 33 42 676 98
1 2 3 4 5 6 7 8
to_do
index
3
1
N 8 did_swap false
No Swap
79. The Fifth “Bubble Up”
452314 33 42 676 98
1 2 3 4 5 6 7 8
to_do
index
3
2
N 8 did_swap false
80. The Fifth “Bubble Up”
452314 33 42 676 98
1 2 3 4 5 6 7 8
to_do
index
3
2
N 8 did_swap false
No Swap
81. The Fifth “Bubble Up”
452314 33 42 676 98
1 2 3 4 5 6 7 8
to_do
index
3
3
N 8 did_swap false
82. The Fifth “Bubble Up”
452314 33 42 676 98
1 2 3 4 5 6 7 8
to_do
index
3
3
N 8 did_swap false
No Swap
83. After Fifth Pass of Outer Loop
452314 33 42 676 98
1 2 3 4 5 6 7 8
to_do
index
3
4
N 8 did_swap false
Finished fifth “Bubble Up”
84. Finished “Early”
452314 33 42 676 98
1 2 3 4 5 6 7 8
to_do
index
3
4
N 8 did_swap false
We didn’t do any swapping,
so all of the other elements
must be correctly placed.
We can “skip” the last two
passes of the outer loop.
85. Summary
• “Bubble Up” algorithm will move largest
value to its correct location (to the right)
• Repeat “Bubble Up” until all elements are
correctly placed:
– Maximum of N-1 times
– Can finish early if no swapping occurs
• We reduce the number of elements we
compare each time one is correctly placed