Here is the code to find parent in Binary search tree. I am not able to understand how is it working, as we are never assigning any value to parent other than null. I an new to recursion.
public Node findParent(Type data)
{
return findParent(data, root, null);
}
public Node findParent(Type x, Node node, Node parent)
{
if (node == null) {
return null;
} else if (!(node.data == x)) {
parent = findParent(x, node.left, node);
if (parent == null) {
parent = findParent(x, node.right, node);
}
}
return parent;
}
You are assigning a non null value to parent in the recursive calls :
parent = findParent(x, node.left, node);
----
parent = findParent(x, node.right, node);
----
parent is null only in the initial call (since the root of the tree has no parent).
Each call to findParent gets a value (x), a Node (node) and the parent Node of that Node (parent). If that value is found in the Node, parent is returned, otherwise, you search for that value in the left sub-tree, and if it's still not found, you search for it in the right sub-tree.
Here I put some comments in it. Tell me if it not seems clear. (Recursion is hard to explain)
// The method
public Node findParent(Type x, Node node, Node parent)
{
// if this node is null, return null, cause this
// is not the path you are looking for
if (node == null) {
return null;
// if this is not the node we are looking for,
} else if (!(node.data == x)) {
// We look in the left node.
parent = findParent(x, node.left, node);
// If its not found parent will be null
if (parent == null) {
// So we go look to the right
parent = findParent(x, node.right, node);
}
}
// Eventually we can return the parent.
// If this was the node we were looking for,
// We can return parent without changing it.
// If it was not, this algorithm searched in its subtrees
// If its not there than parent is null.
return parent;
}
Related
I made a binary search tree in Java but I'm having troubles whit the deleting nodes part. I managed to erase the node when it has only 1 son, and I have the idea to make the deletion when it has 2 sons, anyways the method I'm using when it has no sons (when it's a leaf) is not working in Java. Normally in C++ I would assign the Node "null" but it doesn't work here.
if (numberOfSons(node) == 0) {
node= null;
return true;
}
That's the portion of the code that takes care of the nulling part. When I debug it, it is referencing the correct node and it's assigning it the null value, but when I return to the Frame where I'm calling the delete method for my tree the node is still there. What's the correct way to "null" an object in Java? I thought everything was a pointer in here and therefore this would work, but I think it doesn't.
When you're nulling something you just make the reference in the scope you're in null. It doesn't affect anything outside.
Let me explain by example. Say you have a method foo:
public void foo(Node node) {
node = null;
if(node == null) {
System.out.println("node is null");
} else {
System.out.println("node is not null");
}
}
Now you call it like this:
public void doSomething() {
Node node = new Node();
foo(node);
if(node == null) {
System.out.println("Original node is null");
} else {
System.out.println("Original node is not null");
}
}
In your console you'll get:
node is null
original node in not null
The reason is that it's not a pointer, it's a reference. When you're nulling a reference, you just say "make this reference synonym to null". It doesn't mean that the object is deleted, it may still exist in other places. There is no way to delete objects in java. All you can do is make sure no other object points to them, and the garbage collector will delete the objects (sometime).
Nothing remains but to reinsert either left or right subtree. For instance:
class BinaryTree<T extends Comparable<T>> {
class Node {
Node left;
Node right;
T value;
}
Node root;
void delete(T soughtValue) {
root = deleteRec(root, soughtValue);
}
Node deleteRec(Node node, T soughtValue) {
if (node == null) {
return null;
}
int comparison = soughtValue.compareTo(node.value);
if (comparison < 0) {
node.left = deleteRec(node.left, soughtValue);
} else if (comparison > 0) {
node.right = deleteRec(node.right, soughtValue);
} else {
if (node.left == null) {
return node.right;
} else if (node.right == null) {
return node.left;
} else {
// Two subtrees remain, do for instance:
// Return left, with its greatest element getting
// the right subtree.
Node leftsRightmost = node.left;
while (leftsRightmost.right != null) {
leftsRightmost = leftsRightmost.right;
}
leftsRightmost.right = node.right;
return node.left;
}
}
return node;
}
}
As Java does not have aliases parameters as in C++ Node*& - a kind of in-out parameter, I use the result of deleteRec here. In java any function argument that is an object variable will never change the variable with another object instance. That was one of the language design decisions like single inheritance.
I'm trying to implement an Iterator in my own TreeSet class.
However my attempt at creating it only works until the current node is the root.
The Iterator looks like this:
Constructor:
public TreeWordSetIterator()
{
next = root;
if(next == null)
return;
while(next.left != null)
next = next.left;
}
hasNext:
public boolean hasNext()
{
return next != null;
}
Next:
public TreeNode next()
{
if(!hasNext()) throw new NoSuchElementException();
TreeNode current = next;
next = findNext(next); // find next node
return current;
}
findNext:
private TreeNode findNext(TreeNode node)
{
if(node.right != null)
{
node = node.right;
while(node.left != null)
node = node.left;
return node;
}
else
{
if(node.parent == null)
return null;
while(node.parent != null && node.parent.left != node)
node = node.parent;
return node;
}
}
This works fine up until I get to my root node. So I can only iterate through the left child of root, not the right. Can anyone give me a few tips on what I'm doing wrong? I don't expect a solution, just a few tips.
Question: How can I find the next node in a TreeSet given each node points to its parent, left-child and right-child.
Thanks in advance
It helps to consider the rules of a Binary Search Tree. Let's suppose the previously returned node is n:
If n has a right subtree, then the node with the next value will be the leftmost node of the right subtree.
If n does not have a right subtree, then the node with the next value will be the first ancestor of n that contains n in its left subtree.
Your code is correctly handling the first case, but not the second. Consider the case where node is the leftmost leaf of the tree (the starting case). node has no right child, so we go straight to the else. node has a parent, so the if-clause is skipped. node.parent.left == node, so the while clause is skipped without executing at all. The end result is that node gets returned. I'd expect your iterator to continue returning the same node forever.
There are 3 main ways you can iterate a binarry tree
private void inOrder(TreeNode node) {
if(isEmpty())return;
if(node.getLeftNode()!=null)inOrder(node.getLeftNode());
System.out.print(node.getNodeData()+" ");
if(node.getRightNode()!=null)inOrder(node.getRightNode());
}
private void preOrder(TreeNode node) {
if(isEmpty())return;
System.out.print(node.getNodeData()+" ");
if(node.getLeftNode()!=null)preOrder(node.getLeftNode());
if(node.getRightNode()!=null)preOrder(node.getRightNode());
}
private void postOrder(TreeNode node) {
if(isEmpty())return;
if(node.getLeftNode()!=null)postOrder(node.getLeftNode());
if(node.getRightNode()!=null)postOrder(node.getRightNode());
System.out.print(node.getNodeData()+" ");
}
//use
inOrder(root);
preOrder(root);
postOrder(root);
Its simple as that ,your code doesn't really makes sense to me, is there something else you are trying to do besides iterating in one of this ways?
I think you need to save previous point in your iterator so you know where you've been before
Here some code but be aware that it is not complete you should do it by yourself and it's just to show you the idea. it also doesn't handle the root node.
findNext(TreeNode node, TreeNode previousNode) {
if(node.left != null && node.left != previousNode && node.right != previousNode){ //go left if not been there yet
return node.left;
}
if(node.right != null && node.right != previousNode){ //go right if not been there yet
return node.right;
}
return findNext(node.parent, node); //go up and pass current node to avoid going down
}
A good approach is to use a stack to manage sequencing, which is sort of done for you if you use a recursive traversal (instead of trying to build an Iterator at all) as described in SteveL's answer.
As you want to start from the left, you first load onto the stack the root node and its leftmost children in the proper order (push while going down to the left from the root).
Always pop the next from the top of the stack, and push its right child (if any) and all its leftmost children before returning the one you just popped, so that they're next in line.
By this approach, the top of the stack will always be the next to return, and when the stack is empty, there's no more...
In code:
import java.util.Iterator;
import java.util.NoSuchElementException;
import java.util.Stack;
public class TreeNodeInOrderIterator<T> implements Iterator<T> {
private final Stack<TreeNode<T>> stack;
public TreeNodeInOrderIterator(TreeNode<T> root) {
this.stack = new Stack<TreeNode<T>>();
pushLeftChildren(root);
}
#Override
public boolean hasNext() {
return !stack.isEmpty();
}
#Override
public T next() {
if (!hasNext())
throw new NoSuchElementException();
TreeNode<T> top = stack.pop();
pushLeftChildren(top.right);
return top.val;
}
#Override
public void remove() {
throw new UnsupportedOperationException();
}
private void pushLeftChildren(TreeNode<T> cur) {
while (cur != null) {
stack.push(cur);
cur = cur.left;
}
}
}
In this code, TreeNode is defined by
public class TreeNode<T> {
T val;
TreeNode<T> left;
TreeNode<T> right;
TreeNode(T x) { val = x; }
}
If you want to have each node also know its parent, that's ok, but all the traversal is by using what's on the stack and adding to the stack using the left and right child links.
I have a tree class that looks like:
Class Tree {
Node root;
Node curNode;
public List<String> find(String value) {
if (curNode == null) curNode = root;
for (Node child : curNode.children) {
if (found == false) {
if (child.data.equals(value)) {
// if it finds it return the path to this node.
}
curNode = child;
findDFS(value);
}
}
}
class Node {
List<Node> children;
String data;
}
Where the tree root contains pointers to children nodes which point to other children etc etc. What I'm having problems with is once it finds the node, I need to return the the path to that node.
passing a list tracking the path, once find the node, exit the recursion and fill the path one by one.
Boolean Search(Node node, String value, List<Node> track)
{
if (node == null) return false;
if (node.data.equals(value))
{
track.add(node);
return true;
}
for(Node child : node.children)
{
if (Search(child, value, track)
{
track.add(0, node);
return true;
}
}
return false;
}
If the nodes only point to their children, you'll need to keep track of each path on the way down. As mentioned in comment, you can do this with your own stack or with recursion. For example, you could always return find() call on the children of each node.
If the nodes point both ways, you can easily re-trace the path up once you find the correct node.
The following code traces the path, adding nodes to the list and removing them if they are not in the path
boolean getPath(Node root,String targetValue,List<Integer> path)
{
// base case root is null so path not available
if(root==null)
return false;
//add the data to the path
path.add(root.getData());
//if the root has data return true,path already saved
if(root.getData().equals(targetValue))
return true;
//find the value in all the children
for(Node child: children){
if(getPath(child,targetValue,path))
return true;
}
//if this node does not exist in path remove it
path.remove(path.size()-1);
return false;
}
I understand the algorithms but I am not sure how to put it into actual codes. Please help! And also please explain in details. I really want to understand this besides just copying down the answer. ;)
Here are my codes:
public boolean getLeftChild(){
Node insertNode = root;
while(insertNode!=null){
insertNode = insertNode.left;
}
return true;
}
public Boolean removeMin(){
Node insertNode = root;
Node parentNode =root;
if (insertNode.left ==null){
insertNode.right = parentNode;
insertNode = null;
}else if (getLeftChild() ==true && insertNode.right != null){
insertNode.left = null;
}else{
parentNode.left = insertNode.right;
}
return true;
}
First things first: For trees I highly recommend recursion.
Just one example:
getSmallestNode(Node node){
if(node.left != null){
return getSmallestNode(node.left)
}
return node;
}
For the deletion, there can be two cases if you want do delete the smallest (and therefore the "most left leaf" child) of a binary tree.
Case 1: The leaf has no child nodes, in that case just set the according entry in the parent to null (mostLeftChild.getParent().left = null)
Case 2: The leaf has a right child node (there can't be a left child node because that means there would be a smaller node and your currently selected node isn't the smallest) in that case you replace the current left node with the smallest node of the right subtree mostLeftChild.getParent().left = getSmallestFromSubtree(mostLeftChild.right)
So now to make that into code, it could look something like this (No guarantee that it really works)
public Node deleteSmallest(Node node){
// haven't reached leaf yet
if(node.left != null{
return deleteSmallest(node.left)
}
// case 1, no child nodes
if(node.right == null){
node.getParent().left = null;
} else { // case 2, right child node
node.getParent().left = deleteSmallest(node.right)
}
return node;
}
And you would call it with deleteSmallest(root)
I saw a lot of examples about Trees and how to recursively search them, but not like my case. So I decide to ask.
How can I find a path from any leaf to the root?
My problem is that I have a lot of child nodes per parent. Here is an example of my code:
private LinkedList<TreeNode> findPath(LinkedList<TreeNode> path, TreeNode root, TreeNode leaf){
if(root == null || root.name==null) return null;
path.add(root);
if(root.name.equals(leaf.name))
return path;
//Check if the leaf that we are looking for is one of the root children
if(root.children==null) return null;
for(TreeNode children : root.children){
if(children.name.equals(leaf.name)){
path.add(children);
return path;
}
}
//Search in all the childrens of the root recursively
for(TreeNode children : root.children){
LinkedList<TreeNode> result = findPath(path, children, leaf);
if(result != null)
return result;
}
//The leaf is not found.
return null;
}
And the problem is that every time when I check a child, if I don't find my leaf there I take back but I have add the child node in the path and my path becomes very big.
This implementation assumes that every tree node 'knows' its parent:
private List<TreeNode> findPath(TreeNode root, TreeNode leaf) {
List<TreeNode> path = new ArrayList<>();
TreeNode node = leaf;
do {
path.add(node);
node = node.getParent();
} while (node != root);
return path;
}
Of course you should add validity check for root and leaf and think of the possibility of an infinite loop if a node is (directly or indirectly) its own parent.
If your tree nodes only contain their children, but a child node does not 'know' its parent (which you probably should change if you own the code of the tree nodes), its getting more complex, as the tree must be searched recursively:
public static List<TreeNode> findPath(TreeNode root, TreeNode leaf) {
LinkedList<TreeNode> path = new LinkedList<>();
findPathHelper(root, leaf, path);
return path;
}
private static boolean findPathHelper(TreeNode root, TreeNode leaf, List<TreeNode> path) {
if (root == leaf) {
path.add(root);
return true;
}
for (TreeNode treeNode : root.children) {
if (findPathHelper(treeNode, leaf, path)) {
path.add(root);
return true;
}
}
return false;
}