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binary trees

Hi,

If I have 2 binary trees that are sorted (meaning the left subtree contains nodes smaller that it's parent, while the right subtree contains larger nodes). Let's say the nodes contain an integer.
How would I write a function to merge the two trees?

The way I was thinking was
1) traverse one of the trees using in-order traversal (meaning left node, then root node, then right node)
2) For each node in this tree, I would call an insert method that would insert this node into the other tree.

I guess this would work but is there are better way? Would it be possible somehow to insert more than 1 node at a time (because the tree being traversed is also sorted)?

Any ideas to accomplish this using a good algorithm would be appreciated.

Thanks
AJ
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aj_2003
Asked:
aj_2003
1 Solution
 
objectsCommented:
you should just be able to insert the root node of one tree into the other.
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MogalManicCommented:
Maybe the algorithm should rebalance the tree as well as merge
 1) Compute median of tree 1 & tree 2
 2) Traverse each tree starting at each median
 3) Build new tree as you traverse each tree
 4) When you reach a leaf node of one tree, the subtree of the other tree can be inserted on that leaf.
 
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aj_2003Author Commented:
Object,
You can't do that.

Eg:

     5      
  /    \
1      10

     4
  /    \
1       6

First of all you could 2 nodes with the same integer.
Secondly, based on the comparison of the 2 root nodes, we would place the 2nd tree in the left side of the 5 of tree 1. But this would be wrong since the 6 is larger than the 5.

MogalManic,

When you say find median, how would you do that? But let's say you find it. Then it doesn't necessary have to be at the root node of a tree. This means you have already traversed down the tree. So how are you supposed to go back up the tree and traverse the left side of the root node - we dont have up pointers. Unless I am misunderstanding you, I am not sure how that would work. Can you give me a code example.

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sciuriwareCommented:
I'm afraid the only way to do this is to use the JAVA Collections methods to add one tree to another.
Depends on the collection classes that you are using at present.
;JOOP!
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objectsCommented:
> You can't do that.

right you are.
looks like you need to do one at a time as you currently are.
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MogalManicCommented:
No, I cannot give you code examples, because I haven't written anything like this.  I just know if you Traverse one tree and insert int Tree 2 the Tree will become unbalanced.  For example:
Tree 2 Inserted Into Tree 1:
     2      
  /    \
1      10

     4
  /    \
3       6
will Become
          2      
       /    \
     1      10
           /    \
         3
          \
            4
             \
               6
If you notoce, since the resulting tree retains the same structure, the inserted tree will just be tacked on the end of one of the lists and the tree becomes unbalanced.  The tree will start to degrade into a Linked List.  What you want to have happen is something like this:
   1) The Median of tree 1 is 2
   2) The Median of tree 2 is 4
       (assuming both trees are balanced)
   3) The MIN/MAX of tree 1 is 1,10
   4) The MIN/MAX of tree 2 is 3,6
          4.5-The Min/Max of both trees is 1 and 10
   5) Choose a new root as 4 because 4 is closest to the middle of 10 and 1
       (You could get more complex here and find the closed number between (MIN-MAX)/2=(10-1)/2=9/2=4 but you cannot do this for non-numeric keys)
   6) Iterate through BOTH trees using a PREFIX iterator (in other words visit the nodes 1st then visit the children)
            Create a new tree with 4 as the root
            Insert 2
            Insert 3
            Insert 1
            Insert 10
            Insert 6
The resulting tree is:
          4      
       /     \
     2       10
   /   \     /  
 1      3  6

Another implementation of a tree is called a red-black tree (used by java.util.TreeMap) which automatically rebalances the tree after EVERY insert.  This guarantees that the tree is always balanced which is most efficient for searching.
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