The following pseudocode checks if an essentially complete binary tree is a min heap. (A treenode is a structure containing a left child pointer, a right child pointer, and a node value.) What is the time complexity of this algorithm, and why? bool checkTree(treenode *root) { int status = true; status = checkTree(root, INFINITY)   return status; } bool checkTree(treenode *root, int parentValue) { int *temp = root; if (temp is not NULL) { // check the left child checkTree(temp->left, temp->value); if (temp->left->value > parentValue) { return false; } // check the right child checkTree(temp->right, temp->value);   } return true; {

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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The following pseudocode checks if an essentially complete binary tree is a min heap. (A treenode is a structure containing a left child pointer, a right child pointer, and a node value.) What is the time complexity of this algorithm, and why?

bool checkTree(treenode *root)

{

int status = true;

status = checkTree(root, INFINITY)

 

return status;

}

bool checkTree(treenode *root, int parentValue)

{

int *temp = root;

if (temp is not NULL)

{

// check the left child

checkTree(temp->left, temp->value);

if (temp->left->value > parentValue)

{

return false;

}

// check the right child

checkTree(temp->right, temp->value);

 

}

return true;

{

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