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Tampilkan postingan dengan label binary tree. Tampilkan semua postingan

Sabtu, 17 Desember 2016

You can use the same algorithm to count a number of leaf nodes in the binary tree which we have used in the last article, while printing all leaf nodes of a binary tree in Java, using both recursion and iteration. The logic is same for leaf node, any node whose left and right children is null is known as leaf node in binary tree. They are the nodes which resides in the last level of binary tree and they don't have any children. In order to count total number of leaf nodes in binary tree, you need to traverse the tree and increase the count variable whenever you see a leaf node. Since binary tree is an essential data structure and algorithm topics for programming interviews, its better to prepare these kind of questions. I'll show how to solve this using both recursion and iteration in Java in this article.
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Minggu, 09 Oktober 2016

This is the third article on tree traversal. In the last couple of articles, I have shown you how to implement preorder and inorder traversal in Java, both recursively and iteratively and today, you will learn about the post order traversal. Out of these three main tree traversal algorithms, the post-order traversal is most difficult to implement, especially the iterative version. In post order traversal, you first visit left subtree, then right subtree and at last you print the value of root or not. So, the value of root is always printed at last in the post-order traversal. As I told you before, all three preOrder, inOrder, and postOrder are depth-first algorithms so they go down in the binary tree first before visiting nodes of the same level. The implementation of the recursive algorithm is very simple, you just need to adjust the order of recursive call according to the algorithm and you are done, but iterative algorithm requires some effort to get it right, which you will see in this article.
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Kamis, 22 September 2016

Binary tree based questions are very common in Java or any other Programming job interviews. One of the frequently asked binary tree questions is "write a program to print all leaf nodes of a binary tree". In order to solve this problem, you must know what is a leaf node? A leaf node in a binary tree is a node whose left and right child is null. They are actually the last nodes of any binary tree. In a typical programming interview, you would be given a binary tree and asked to write a program to print all leaf nodes. Usually, all binary tree related questions can be solved easily using recursion because a tree is a recursive data structure, but you should also know how to solve them without recursion.
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Rabu, 17 Agustus 2016

This is the second article about tree traversal algorithms using Java. In the first part, we have seen the pre-order algorithm for visiting all nodes of the binary tree and today we'll learn about the InOrder traversal. As I told you before, unlike array and linked list, binary tree has several ways of traversal. The traversal algorithms are broadly divided into depth first and breadth first traversal algorithms depending upon how algorithm actually works. As the name suggest, depth first explores binary tree towards depth before visiting sibling, while breath first visits all nodes in the same level before going to next level, hence it is also known as level order traversal. Both PreOrder and InOrder tree traversal algorithms are depth first and the only difference between pre-order and in-order algorithm is the order on which root, left node, and right node of the binary tree is visited.
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Senin, 11 Juli 2016

Unlike linked list and array which can only be traversed linearly, there are several ways to traverse a binary tree. The tree traversal algorithms are mainly divided into two parts, depth first and breadth first. As their name suggests, in depth first, the tree is traversed downwards (towards the depth) before the next sibling is visited, the PreOrder, InOrder and PostOrder traversal of a binary tree are actually depth-first traversals. On the breadth first, the entire breadth of the tree is traversed before moving to next level, hence it is also known as level order traversal. There are other algorithms to traverse a binary tree as well e.g. Monte Carlo tree search, which concentrates on analyzing the most promising moves, but the pre-order, post-order, and in-order traversal are the most popular ways to traverse a binary tree in Java. They are also the most popular data structure and algorithm questions at beginner and intermediate level.
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