In another question about finding an algorithm to compute the diameter of a binary tree the following code is provided as a possible answer to the problem.
public static int getDiameter(BinaryTreeNode root) {
if (root == null)
return 0;
int rootDiameter = getHeight(root.getLeft()) + getHeight(root.getRight()) + 1;
int leftDiameter = getDiameter(root.getLeft());
int rightDiameter = getDiameter(root.getRight());
return Math.max(rootDiameter, Math.max(leftDiameter, rightDiameter));
}
public static int getHeight(BinaryTreeNode root) {
if (root == null)
return 0;
return Math.max(getHeight(root.getLeft()), getHeight(root.getRight())) + 1;
}
In the comments section it's being said that the time complexity of the above code is O(n^2). At a given call of the getDiameter
function, the getHeight
and the getDiameter
functions are called for the left and right subtrees.
Let's consider the average case of a binary tree. Height can be computed at Θ(n) time (true for worst case too). So how do we compute the time complexity for the getDiameter
function?
My two theories
Τ(n) = 4T(n/2) + Θ(1) = Θ(n^2), height computation is considered (same?) subproblem.
T(n) = 2T(n/2) + n + Θ(1) = Θ(nlogn), n = 2*n/2 for height computation?
Thank you for your time and effort!