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Questions and Answers
What is a tree?
What is a tree?
A tree is an ABSTRACT Data type that stores elements hierarchically, representing a non-linear hierarchical relationship.
What is a node in a tree data structure?
What is a node in a tree data structure?
A node is a fundamental part of the tree, containing data and possibly links to child nodes.
What is the difference between a parent node and a child node?
What is the difference between a parent node and a child node?
A parent node has one or more child nodes, while a child node descends from its parent node.
What is the height of a tree data structure?
What is the height of a tree data structure?
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What is the degree of a tree?
What is the degree of a tree?
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What is a binary tree?
What is a binary tree?
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What is a proper binary tree?
What is a proper binary tree?
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What is an almost complete binary tree?
What is an almost complete binary tree?
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What is a balanced binary tree?
What is a balanced binary tree?
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What is the purpose of tree traversal?
What is the purpose of tree traversal?
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What is the purpose of depth-first traversal?
What is the purpose of depth-first traversal?
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What is a binary search tree (BST)?
What is a binary search tree (BST)?
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How are nodes inserted into a binary search tree?
How are nodes inserted into a binary search tree?
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What is a level-order traversal?
What is a level-order traversal?
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Study Notes
Tree Data Structure
- A tree is an abstract data type that stores elements hierarchically.
- It's a non-linear hierarchical relationship between data elements called nodes.
- Nodes have a parent-child relationship.
- There is one unique path between any two nodes in a tree.
- A tree with n nodes has n-1 edges.
- A graph is a tree if and only if it is minimally connected.
Tree Data Structure Properties
- Root: The topmost node in the tree; it has no parent.
- Node: A fundamental part of the tree; it contains data and possibly links to child nodes.
- Edge: Connections between two nodes.
- Parent Node: A node with one or more child nodes.
- Child Node: A node descending from a parent node.
- Leaf Node (External Node): A node with no children.
- Subtree: A tree consisting of a node and its descendants.
- Depth: The distance (number of edges) from the root to a specific node.
- Height: The distance from a node to the deepest leaf in its subtree.
- Sibling: Nodes sharing the same parent.
- Degree: The total number of children a node has.
- Internal Node (Non-terminal Node): A node with at least one child; nodes other than leaf nodes.
Binary Tree
- A binary tree is an ordered tree with:
- At most two children per node.
- Each child is labeled as left or right.
- A left child precedes a right child in the order of children of a node.
Types of Binary Trees
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Proper/Full/Strictly Binary Tree: Every node has either 0 or 2 children. No node has only one child.
- All internal nodes have two children.
- All leaves are at the same level, or at the last two levels of the tree.
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Almost Complete Binary Tree:
- All levels are completely filled, except possibly the last level.
- The last level is filled from left to right.
- Skewed Binary Tree/Degenerate (or Pathological) Tree: All nodes except one have one child; the remaining node has no children.
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Balanced Binary Tree: The height of the left and right subtrees of any node differ by at most 1.
- Ensures logarithmic height O(log n).
- Used to maintain efficient search, insert, and delete operations.
Tree Traversal
-
Depth-First Traversal: Visiting nodes in a depth-first manner.
- In-order: Left subtree, root, then right subtree.
- Pre-order: Root, left subtree, right subtree.
- Post-order: Left subtree, right subtree, then root.
- Breadth-First Traversal: Visiting nodes level by level, beginning from the root.
Binary Search Tree (BST)
- A specialized binary tree where each node contains:
- Only smaller values in its left subtree
- Only larger values in its right subtree.
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Description
This quiz covers the fundamental concepts of tree data structures, including their definitions, properties, and hierarchical relationships. Discover the roles of nodes, edges, and unique paths that characterize trees as an abstract data type. Test your knowledge on key terms and structures involved in tree data representation.