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Heap Sort is the most appropriate algorithm for a sorting task that requires minimal auxiliary space. It sorts an array by first building a heap data structure and then repeatedly extracting the maximum element to place it in the sorted order. Heap Sort operates in-place with a space complexity of O(1), making it efficient in terms of auxiliary space compared to algorithms like Merge Sort, which requires additional space. Why Other Options are Wrong: a) Merge Sort requires O(n) additional space for temporary arrays, making it less suitable for minimal space requirements. b) Quick Sort has an average space complexity of O(log n) due to recursion stack but is not as space-efficient as Heap Sort. c) Bubble Sort has a space complexity of O(1) but is inefficient in terms of time complexity compared to Heap Sort. e) Radix Sort, while efficient for certain data types, requires additional space for digit bins, making it less suitable for minimal space usage.
One should understand (a) / the efforts of others, (b) / as much as his owns. (c) / No error (d)
Read each sentence to find out whether there is any error in it. The error, if any, will be in one part of the sentence. Mark the part with the error as...
The strangely murky waters of the UK's broadband market were stirred up once again last week, making things clear as mud , as usual.
...Life is much vaster (A)/and deeper, it cannot be (B)/lived with the aide (C)/of an extinguishable lamp (D).
They will start their journey after the breakfast.
Identify the part of the sentence which contains an error.
In the front room/ of our house/ there’s/ two chairs and a sofa.
One of the players against (A)/whom an alleviation was made, (B)/an England international, is (C)/understood to be claiming he has an alibi (D).
The teacher asked us (1)/ if we have (2)/ completed the assignment (3)/ before leaving the class. (4)
Will you please stop beating about the bush?