What is the computational complexity of deleting an item from a
heap?
O(1)
O(log n)
O(n)
O(n log n)
O(n^2) (n squared)
What is the computational complexity of deleting an item from a heap? O(1) O(log n) O(n)...
C++
Question 9 5 pts Deleting the minimum element in a min-heap of N elements takes in average case O(N log N) O(1) O(N) Oſlog N) D Question 10 5 pts The time taken to find an element in an AVL tree of depth d is Old) 02) Oſlog d) Old log d) Question 11 5 pts Secondary clustering in a hash table occurs when using Linear probing Separate chaining Quadratic probing Double hashing Question 12 5 pts When sorting...
JAVA What is the complexity of this algorithm? Assign each student in the class a number from 1 to n, where n is the number of students. Then ask each of the odd-numbered students whether he or she is left-handed. a. O(1) b. O(n) c. O(n ^ 2) d. O(log n) What is the complexity of this algorithm? In a very difficult CS class, half the n students who originally signed up drop the course after the first quiz. After...
What is the time complexity of this code?
I'm unsure if it is O(log(n)) or O(n).
I think that the while loop is logn but the for loop that comes
after runs the same number of times as the while loop.
string toBinary(int num) { string binary = "", temp = ""; while (num != 0) { temp += to_string(num%2); num /= 2; for (int i = temp.size() - 1; i >= 0; i--) { binary += temp[i]; return binary;
1. (Exercise 8.4 in Chapter 8 of the textbook) It is important to calculate the worst-case computational complexity of the decision tree algorithm. Given data set D, the number of attributes n, and the number of training tuples |DI, show that the computational cost of growing a tree is at most n x |D x log(|D|).
1. (Exercise 8.4 in Chapter 8 of the textbook) It is important to calculate the worst-case computational complexity of the decision tree algorithm. Given...
fill in the blank Binary Search Tree AVL Tree Red-Black Tree complexity O(log N), O(N) in the worst case O(log N) O(log N) Advantages - Increasing and decreasing order traversal is easy - Can be implemented - The complexity remains O(Log N) for a large number of input data. - Insertion and deletion operation is very efficient - The complexity remains O(Log N) for a large number of input data. Disadvantages - The complexity is O(N) in the worst case...
Is it possible to find the maximum in a min-heap in O(log n) time? Justify.
please justify.
A Fibonacci heap is a fancy priority queue data structure. For a heap of size n, it takes O(log n) time to do an extractMin() operation but only O(1) time to do an insert or decrease operation. Suppose we replace the binary heap used in Dijkstra's algorithm by a Fibonacci heap. 6. If the graph is dense, what is the asymptotic complexity of Dijkstra's algorithm using a Fibonacci heap, in terms of V|? 7. If the graph is...
What is the computational complexity (Big O order of magnitude) of the following function? 4n3 + 123n3logn +100000
(a) Prove that n log^3 n is O(n^2). Prove that n^3 is not O(n^2 log n). (b) The multi Pop (i) method pops i items from the top of a stack. Analyse the amortized complexity of the multiPop (i) method.
Using a recurrence relation, prove that the time complexity of the binary search is O(log n). You can use ^ operator to represent exponentiation operation. For example, 2^n represents 2 raised to the power of n.