plausible ways of achieving the same result, including that of applying k times your solution for part (a). [Note that in part (a) the result of the function

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Give a clear description of an efficient algorithm for finding the k smallest elements of a very large n-element vector. Compare its running time with that of other plausible ways of achieving the same result, including that of applying k times your solution for part (a). [Note that in part (a) the result of the function consists of one element, whereas here it consists of k elements. As above, you may assume for simplicity that all the elements of the vector are different.]

Q2- Give a clear description of an efficient algorithm for finding the k smallest
elements of a very large n-element vector. Compare its running time with that of
other plausible ways of achieving the same result, including that of applying k
times your solution for part (a). [Note that in part (a) the result of the function
consists of one element, whereas here it consists of k elements. As above, you may
assume for simplicity that all the elements of the vector are different.] 10
Transcribed Image Text:Q2- Give a clear description of an efficient algorithm for finding the k smallest elements of a very large n-element vector. Compare its running time with that of other plausible ways of achieving the same result, including that of applying k times your solution for part (a). [Note that in part (a) the result of the function consists of one element, whereas here it consists of k elements. As above, you may assume for simplicity that all the elements of the vector are different.] 10
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