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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 insertion at root
Insert at root is an operation where we insert a new node with the given value at the root of a given binary tree. The operation is simple as it does not involve any tree traversal and adds links to the existing tree. There are two cases to consider.
1. The tree is empty
If the given tree is empty, we can create a new node with the given value, which becomes the tree itself.
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