What is the best-case scenario in terms of search complexity for binary search trees? O(N-1). N is number of nodes in the tree O(log N). N is height of the tree O(log N). N is number of nodes in the tree O(N). N is number of nodes in the tree O(N+1). N is number of nodes in the tree

The Delete algorithm for a binary search tree retrieves and deletes the inorder successor when the node being deleted has two children. In this case the inorder successor is found as: O a. the smallest value in the left subtree. O b. the largest value in the right subtree. O c. the largest value in the left subtree. O d. None of these are correct O e. the smallest value in the right subtree.

In a binary search tree, to remove a node N that has left child C1 and right child C2, we do the following:   Group of answer choices We make C1 the left child of N’s parent and C2 the right child of N’s parent   We make C1 the right child of N’s parent and C2 the left child of N’s parent   We find the largest item L in N’s left subtree, copy the contents of L to N, and remove L   We find the smallest item S in N’s right subtree, copy the contents of S to N, and remove N   We find the largest item L in N's right subtree, copy the contents of L to N, and remove L

This algorithm find the value of the largest item in a binary search tree. What is the time complexity of this algorithm, and why? int maxValue(node *root) { int max; max = maximum(root) return max;   // if max equals -1, then the binary search tree was empty } int maximum(node *node) { if (node == NULL) { return -1; { else { int value = node->value; int left = maximum(node->left); int right = maximum(node->right); if (value < left) { value = left; } if (value < right) { value = right; } return value; } {

Solve T(n) 4T(n/2) + O(n³) using the recursion tree method. • Tree depth: • each subproblem size at depth d:

In the binary search tree, write a function that takes in a root, p, and checks whether the tree rooted in p is a binary search tree or not. What is the time complexity of your function? def is_bst(self, p: Node):

What is the most popular application of in-order traversal in binary search trees? Please don't just copy and paste someone else's answer it will result in automatic thumbs down.

Let T be a binary search tree with n nodes, in which n > 0. When T is linear, the search algorithm makes key comparisons, in the unsuccassful case.

Draw all possible binary search trees with the values 1, 2, 3, and 4.

The minimum height of a binary search tree win n keys is log2 n. Select one:  True or False