Binary Search Tree Remove Node Critique

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1 comment, last by iMalc 11 years, 5 months ago
I have written the code needed to remove a node from a non-self balancing BST. I've put it through every test I could think of and it seems to be pretty solid, but the method is pretty long. I have been trying to figure out a way to re-factor it to make it more streamlined (if that is possible?). However I haven't had much luck. The code for removing a node with a single child is pretty much identical. The only difference is that the children they get/set are their opposite. I figure some special pointer magic would make this work but haven't had any luck.


template<class T>
void BinarySearchTree<T>::remove(BSTNode<T>* nodeToDelete)
{
sorted = false;
if(nodeToDelete->getLeftChild() == nullptr && nodeToDelete->getRightChild() == nullptr) //No Children
{
if(root == nodeToDelete)
root = nullptr;
setParentsChildNodeToNull(nodeToDelete);
eraseNode(nodeToDelete);
}
else if(nodeToDelete->getRightChild() == nullptr) //Left child only
{
BSTNode<T>* newRoot = maximum(nodeToDelete->getLeftChild());

if(nodeToDelete->getLeftChild() != newRoot)
{
if(newRoot->getLeftChild())
{
newRoot->getParent()->setRightChild(newRoot->getLeftChild());
newRoot->getLeftChild()->setParent(newRoot->getParent());
}
else
{
newRoot->getParent()->setRightChild(nullptr);
}
nodeToDelete->getLeftChild()->setParent(newRoot);
newRoot->setLeftChild(nodeToDelete->getLeftChild());
}
newRoot->setParent(nodeToDelete->getParent());
if(newRoot->getParent() != nullptr)
replaceOldChildInParent(nodeToDelete, newRoot);
if(nodeToDelete == root)
root = newRoot;
eraseNode(nodeToDelete);
}
else if(nodeToDelete->getLeftChild() == nullptr) //Right child only
{
BSTNode<T>* newRoot = minimum(nodeToDelete->getRightChild());

if(nodeToDelete->getRightChild() != newRoot)
{
if(newRoot->getRightChild())
{
newRoot->getParent()->setLeftChild(newRoot->getRightChild());
newRoot->getRightChild()->setParent(newRoot->getParent());
}
else
{
newRoot->getParent()->setLeftChild(nullptr);
}
nodeToDelete->getRightChild()->setParent(newRoot);
newRoot->setRightChild(nodeToDelete->getRightChild());
}
newRoot->setParent(nodeToDelete->getParent());
if(newRoot->getParent() != nullptr)
replaceOldChildInParent(nodeToDelete, newRoot);
if(nodeToDelete == root)
root = newRoot;
eraseNode(nodeToDelete);
}
else //Both children exsist
{
BSTNode<T>* newRoot = maximum(nodeToDelete->getLeftChild());
if(nodeToDelete->getLeftChild() != newRoot)
{
if(newRoot->getLeftChild())
{
newRoot->getParent()->setRightChild(newRoot->getLeftChild());
newRoot->getLeftChild()->setParent(newRoot->getParent());
}
else
{
newRoot->getParent()->setRightChild(nullptr);
}
nodeToDelete->getLeftChild()->setParent(newRoot);
newRoot->setLeftChild(nodeToDelete->getLeftChild());
}
newRoot->setRightChild(nodeToDelete->getRightChild());
newRoot->getRightChild()->setParent(newRoot);
newRoot->setParent(nodeToDelete->getParent());
if(newRoot->getParent() != nullptr)
replaceOldChildInParent(nodeToDelete, newRoot);
if(nodeToDelete == root)
root = newRoot;
eraseNode(nodeToDelete);
}
}
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Seems like a lot of code to remove a node. Wait, just looked over my own binary tree delete code.


tree* left = node->left, right = node->right;
// Has 2 Children
if( left->value && right->value ) {
// Move left nodes to leftmost right node
// Get leftmost right node
tree* successor = right;
while( successor->left->value )
successor = successor->left;
delete successor->left;
successor->left = left;
// Replace this node with right node
delete node->value;
node->value = right->value;
node->left = right->left;
node->right = right->right;
delete right;
}
// Has left child
else if( left->value ) {
// No right value, so delete
delete right;
// Delete this node's value and replace it with left node value
delete node->value;
node->value = left->value;
node->left = left->left;
node->right = left->right;
// Delete left node
delete left;
} else if( right->value ) {
// No left value so delete
delete left;
// Delete this node's value and replace it with right node value
delete node->value;
node->value = right->value;
node->left = right->left;
node->right = right->right;
// Delete right node
delete right;
} else {
// This node becomes dead leaf
delete node->value;
node->value = NULL;
delete left;
delete right;
}
return node;

Seems about right.
I say Code! You say Build! Code! Build! Code! Build! Can I get a woop-woop? Woop! Woop!
For reference, here's an ordered binary tree remove function that I wrote some time ago which uses the less-than operator for ordering and returns the removed node rather than deleting it:// O(n) : Remove selected item - caller responsible for deallocation
template <class TNode, class TKey>
TNode *TreeRemove(TNode *&head, TKey &rem) {
TNode *found;
//unexpected case: the item was not even in the tree
if (head == NULL) {
return NULL; // Not found
} else if (rem < *head) {
//the item to be removed is in the left sub-tree
return TreeRemove(head->left, rem);
} else if (*head < rem) {
//the item to be removed is in the right sub-tree
return TreeRemove(head->right, rem);
} else {
//if we got here then we have found the item
found = head;
if (head->left == NULL) {
//there is no left node, put the right one as the new parent
//the right could be NULL, but if so this also does what we want.
head = head->right;
} else if (head->right == NULL) {
//there was no right node, but we already know there is a left one so use that
head = head->left;
} else {
//difficult case: We need to find a replacement for this node in the tree.
//this uses leftmost node of the right sub-tree
TNode *temp = TreeRemoveMin_Aux(head->right);
//now copy all of the old details in the node being reused
temp->left = head->left;
temp->right = head->right;
//switch it with the old one
head = temp;
}
return found;
}
}
template <class TNode>
TNode *TreeRemoveMin_Aux(TNode *&head) {
TNode *found;
//special case used for finding the node to replace a higher deleted node
if (head->left != NULL)
found = TreeRemoveMin_Aux(head->left);
else {
//if we got here then we have found the item
found = head;
//there is no left node, put any right one as the new parent
head = head->right;
}
return found;
}

I think you'll agree that it's considerably less complex, and probably still shorter despite the thorough commenting.
"In order to understand recursion, you must first understand recursion."
My website dedicated to sorting algorithms

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