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Binary Tree
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Introduction to binary trees
Array implementation of binary trees
Linked list implementation of binary trees
Recursive traversals in binary trees
Iterative traversals in binary trees
- Understanding the problem
- Understanding iterative preorder traversal
- Implement iterative preorder traversal
- Understanding iterative inorder traversal
- Implement iterative inorder traversal
- Understanding iterative postorder traversal
- Implement iterative postorder traversal
- Understanding level order traversal
- Implement level order traversal
Constructing a binary tree
- Challenges in construction from preorder traversal
- Challenges in construction from inorder traversal
- Challenges in construction from postorder traversal
- Understanding construction using preorder and inorder traversal
- Construct tree using preorder and inorder traversal
- Understanding construction using postorder and inorder traversal
- Construct tree using postorder and inorder traversal
Insertion in binary trees
Pattern: Preorder traversal (Stateless)
Pattern: Preorder traversal (Stateful)
Pattern: Postorder traversal (Stateless)
Pattern: Postorder traversal (Stateful)
Pattern: Root to leaf path (Stateless)
Pattern: Root to leaf path (Stateful)
Pattern: Level order traversal
Pattern: Level order traversal (Columns)
Pattern: Lowest common anscestor
Pattern: Simultaneous traversal
Practice: Mix traversals
Assessments
Certificate
Understanding recursive insertion of a leaf
A new node can be easily inserted in the binary tree as a leaf node by recursively going down the tree from top to bottom. The insert process can be summarised in three simple steps, which are given below.
- Step 1: Traverse the tree and find the first node that is missing either a `left` child, a `right` child, or both.
- Step 2: Create a new node with the given data and link it as the missing child of the node found in step 1.
Algorithm
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