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NIELIT STA 2021

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rsansiya111 asked Dec 6, 2021
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NIELIT STA 2021
Worst Case scenario in case of linear search algorithm is_______________. Item is somewhere in the middle of the array Item is not in the array at all Item is the last element in the array Item is the last element in the array or is not there at all
Worst Case scenario in case of linear search algorithm is_______________.Item is somewhere in the middle of the arrayItem is not in the array at allItem is the last eleme...
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rsansiya111 asked Dec 6, 2021
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NIELIT STA 2021
The time complexity of solving the Longest Common Subsequence problem using Dynamic Programming is: (m and n are lengths of subsequences) O(m.n) O(m+n) O(log m.n) O(m/n)
The time complexity of solving the Longest Common Subsequence problem using Dynamic Programming is: (m and n are lengths of subsequences) O(m.n)O(m+n)O(log m.n)O(m/n)
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rapidxy asked Dec 14, 2021
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NIELIT STQC STA 2021
Let $C(n,r)= \binom{n}{r}$.The value of $\sum_{k=0}^{20}(2k+1)C(41,2k+1)$ is : A)40(2)^40 B)40(2)^39 C)41(2)^40 D)41(2)^39
Let $C(n,r)= \binom{n}{r}$.The value of $\sum_{k=0}^{20}(2k+1)C(41,2k+1)$ is :A)40(2)^40 B)40(2)^39C)41(2)^40D)41(2)^39
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rsansiya111 asked Dec 6, 2021
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NIELIT STA 2021
If a hash table is implemented asa search tree, the expected time required to enter n names and make m searches is proportional to: (n + m) $log_{2} n$ (n + m) $log_{2} m$ mn $log_{2} n$ mn $log_{2} m$
If a hash table is implemented asa search tree, the expected time required to enter n names and make m searches is proportional to: (n + m) $log_{2} n$(n + m) $log_{2} m$...
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