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Given an unsorted array. The array has this property that every element in array is at most k distance from its position in sorted array where k is a positive integer smaller than size of array. Which sorting algorithm can be easily modified for sorting this array and what is the obtainable time complexity?
- a)Insertion Sort with time complexity O(kn)
- b)Heap Sort with time complexity O(nLogk)
- c)Quick Sort with time complexity O(kLogk)
- d)Merge Sort with time complexity O(kLogk)
Correct answer is option 'B'. Can you explain this answer?
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Given an unsorted array. The array has this property that every elemen...
1) to sort the array firstly create a min-heap with first k+1 elements and a separate array as resultant array.
2) because elements are at most k distance apart from original position so, it is guranteed that the smallest element will be in this K+1 elements.
3) remove the smallest element from the min-heap(extract min) and put it in the result array.
4) Now,insert another element from the unsorted array into the mean-heap, now,the second smallest element will be in this, perform extract min and continue this process until no more elements are in the unsorted array.finally, use simple heap sort for the remaining elements Time Complexity ------------------------ 1) O(k) to build the initial min-heap 2) O((n-k)logk) for remaining elements... 3) 0(1) for extract min so overall O(k) + O((n-k)logk) + 0(1) = O(nlogk)
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Given an unsorted array. The array has this property that every elemen...
1) to sort the array firstly create a min-heap with first k+1 elements and a separate array as resultant array.
2) because elements are at most k distance apart from original position so, it is guranteed that the smallest element will be in this K+1 elements.
3) remove the smallest element from the min-heap(extract min) and put it in the result array.
4) Now,insert another element from the unsorted array into the mean-heap, now,the second smallest element will be in this, perform extract min and continue this process until no more elements are in the unsorted array.finally, use simple heap sort for the remaining elements Time Complexity ------------------------ 1) O(k) to build the initial min-heap 2) O((n-k)logk) for remaining elements... 3) 0(1) for extract min so overall O(k) + O((n-k)logk) + 0(1) = O(nlogk)
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Given an unsorted array. The array has this property that every elemen...
1) to sort the array firstly create a min-heap with first k+1 elements and a separate array as resultant array.
2) because elements are at most k distance apart from original position so, it is guranteed that the smallest element will be in this K+1 elements.
3) remove the smallest element from the min-heap(extract min) and put it in the result array.
4) Now,insert another element from the unsorted array into the mean-heap, now,the second smallest element will be in this, perform extract min and continue this process until no more elements are in the unsorted array.finally, use simple heap sort for the remaining elements Time Complexity ------------------------ 1) O(k) to build the initial min-heap 2) O((n-k)logk) for remaining elements... 3) 0(1) for extract min so overall O(k) + O((n-k)logk) + 0(1) = O(nlogk)
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Given an unsorted array. The array has this property that every element in array is at most k distance from its position in sorted array where k is a positive integer smaller than size of array. Which sorting algorithm can be easily modified for sorting this array and what is the obtainable time complexity?a)Insertion Sort with time complexity O(kn)b)Heap Sort with time complexity O(nLogk)c)Quick Sort with time complexity O(kLogk)d)Merge Sort with time complexity O(kLogk)Correct answer is option 'B'. Can you explain this answer?
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Given an unsorted array. The array has this property that every element in array is at most k distance from its position in sorted array where k is a positive integer smaller than size of array. Which sorting algorithm can be easily modified for sorting this array and what is the obtainable time complexity?a)Insertion Sort with time complexity O(kn)b)Heap Sort with time complexity O(nLogk)c)Quick Sort with time complexity O(kLogk)d)Merge Sort with time complexity O(kLogk)Correct answer is option 'B'. Can you explain this answer? for Computer Science Engineering (CSE) 2024 is part of Computer Science Engineering (CSE) preparation. The Question and answers have been prepared according to the Computer Science Engineering (CSE) exam syllabus. Information about Given an unsorted array. The array has this property that every element in array is at most k distance from its position in sorted array where k is a positive integer smaller than size of array. Which sorting algorithm can be easily modified for sorting this array and what is the obtainable time complexity?a)Insertion Sort with time complexity O(kn)b)Heap Sort with time complexity O(nLogk)c)Quick Sort with time complexity O(kLogk)d)Merge Sort with time complexity O(kLogk)Correct answer is option 'B'. Can you explain this answer? covers all topics & solutions for Computer Science Engineering (CSE) 2024 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for Given an unsorted array. The array has this property that every element in array is at most k distance from its position in sorted array where k is a positive integer smaller than size of array. Which sorting algorithm can be easily modified for sorting this array and what is the obtainable time complexity?a)Insertion Sort with time complexity O(kn)b)Heap Sort with time complexity O(nLogk)c)Quick Sort with time complexity O(kLogk)d)Merge Sort with time complexity O(kLogk)Correct answer is option 'B'. Can you explain this answer?.
Given an unsorted array. The array has this property that every element in array is at most k distance from its position in sorted array where k is a positive integer smaller than size of array. Which sorting algorithm can be easily modified for sorting this array and what is the obtainable time complexity?a)Insertion Sort with time complexity O(kn)b)Heap Sort with time complexity O(nLogk)c)Quick Sort with time complexity O(kLogk)d)Merge Sort with time complexity O(kLogk)Correct answer is option 'B'. Can you explain this answer? for Computer Science Engineering (CSE) 2024 is part of Computer Science Engineering (CSE) preparation. The Question and answers have been prepared according to the Computer Science Engineering (CSE) exam syllabus. Information about Given an unsorted array. The array has this property that every element in array is at most k distance from its position in sorted array where k is a positive integer smaller than size of array. Which sorting algorithm can be easily modified for sorting this array and what is the obtainable time complexity?a)Insertion Sort with time complexity O(kn)b)Heap Sort with time complexity O(nLogk)c)Quick Sort with time complexity O(kLogk)d)Merge Sort with time complexity O(kLogk)Correct answer is option 'B'. Can you explain this answer? covers all topics & solutions for Computer Science Engineering (CSE) 2024 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for Given an unsorted array. The array has this property that every element in array is at most k distance from its position in sorted array where k is a positive integer smaller than size of array. Which sorting algorithm can be easily modified for sorting this array and what is the obtainable time complexity?a)Insertion Sort with time complexity O(kn)b)Heap Sort with time complexity O(nLogk)c)Quick Sort with time complexity O(kLogk)d)Merge Sort with time complexity O(kLogk)Correct answer is option 'B'. Can you explain this answer?.
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ample number of questions to practice Given an unsorted array. The array has this property that every element in array is at most k distance from its position in sorted array where k is a positive integer smaller than size of array. Which sorting algorithm can be easily modified for sorting this array and what is the obtainable time complexity?a)Insertion Sort with time complexity O(kn)b)Heap Sort with time complexity O(nLogk)c)Quick Sort with time complexity O(kLogk)d)Merge Sort with time complexity O(kLogk)Correct answer is option 'B'. Can you explain this answer? tests, examples and also practice Computer Science Engineering (CSE) tests.
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