ou have a large Hash Table with N entries. You will be adding N/4 items to the table. Assuming that you have a good hash function, what is the expected time complexity for searching for an item in this data structure?Question 50AnswerO(1).cross outO(N).cross outO(N/4).cross outO(log N).
Question
ou have a large Hash Table with N entries. You will be adding N/4 items to the table. Assuming that you have a good hash function, what is the expected time complexity for searching for an item in this data structure?Question 50AnswerO(1).cross outO(N).cross outO(N/4).cross outO(log N).
Solution
The expected time complexity for searching for an item in a hash table, assuming a good hash function, is O(1). This is because a hash table allows for constant time average complexity for search operations, regardless of the number of elements in the table. This remains true even when you add N/4 items to the table. The other options, O(N), O(N/4), and O(log N), are incorrect.
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Question #30What is the time complexity of searching for an element - worst case - in a hash table with the implementation you used during the previous Hash Table C project (chaining)?O(n!)O(2^n)O(1)O(n)O(nlog(n))O(n^2)O(log(n))Question #31What is the time complexity of this function / algorithm?int Fibonacci(int number){ if (number <= 1) return number; return Fibonacci(number - 2) + Fibonacci(number - 1);}O(n!)O(2^n)O(1)O(n)O(nlog(n))O(n^2)O(log(n))Question #32What is the time complexity of searching for an element in an unsorted Python 3 list of size n?O(n!)O(2^n)O(1)O(n)O(nlog(n))O(n^2)O(log(n))Question #33What is the time complexity of the “pop” operation onto a stack?O(n!)O(2^n)O(1)O(n)O(nlog(n))O(n^2)O(log(n))Question #34What is the time complexity of inserting after the nth element of a singly linked list? (Assuming you have a pointer to the node to insert)O(n!)O(2^n)O(1)O(n)O(nlog(n))O(n^2)O(log(n))Question #35What is the time complexity of this function / algorithm?void f(unsigned int n){ int i; int j; for (i = 0; i < n; i++) { for (j = 1; j < n; j = j * 2) { printf("[%d] [%d]\n", i, j); } }}O(n!)O(2^n)O(1)O(n)O(nlog(n))O(n^2)O(log(n))Question #36What is the time complexity of searching for an element in an unsorted array of size n?O(n!)O(2^n)O(1)O(n)O(nlog(n))O(n^2)O(log(n))Question #37What is the best case time complexity of insertion in a hash table with the implementation you used during the previous Hash Table C project (chaining)?O(n!)O(2^n)O(1)O(n)O(nlog(n))O(n^2)O(log(n))Question #38What is the best case time complexity searching for an element in a hash table with the implementation you used during the previous Hash Table C project (chaining)?O(n!)O(2^n)O(1)O(n)O(nlog(n))O(n^2)O(log(n))Question #39What is the time complexity of the “push” operation onto a stack?O(n!)O(2^n)O(1)O(n)O(nlog(n))O(n^2)O(log(n))Question #40What is the time complexity of this function / algorithm?def func(n): a=5 b=6 c=10 for i in range(n): for j in range(n): x = i * i y = j * j z = i * j for k in range(n): w = a*k + 45 v = b*b d = 33O(n!)O(2^n)O(1)O(n)O(nlog(n))O(n^2)O(log(n))Question #41What is the time complexity of removing at index n in an unsorted array?O(n!)O(2^n)O(1)O(n)O(nlog(n))O(n^2)O(log(n))Question #42What is the time complexity of inserting into an unsorted Python 3 list at index n?O(n!)O(2^n)O(1)O(n)O(nlog(n))O(n^2)O(log(n))Submit answers
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