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Questions and Answers
What is the order of node visitation in Inorder Traversal?
What is the order of node visitation in Inorder Traversal?
What is the time complexity of Inorder Traversal?
What is the time complexity of Inorder Traversal?
Which traversal method processes nodes in the order: Root -> Left -> Right?
Which traversal method processes nodes in the order: Root -> Left -> Right?
Which traversal method is primarily used for breadth-first search?
Which traversal method is primarily used for breadth-first search?
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What is a common application of trees in computer science?
What is a common application of trees in computer science?
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What is the traversal order for Postorder Traversal?
What is the traversal order for Postorder Traversal?
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Which operation allows you to locate a specific value within a binary search tree?
Which operation allows you to locate a specific value within a binary search tree?
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What scenario best describes the function of network routing algorithms in relation to trees?
What scenario best describes the function of network routing algorithms in relation to trees?
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Which of the following traversal methods visits nodes level by level?
Which of the following traversal methods visits nodes level by level?
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In the context of binary search trees, what is a benefit of using trees for data representation?
In the context of binary search trees, what is a benefit of using trees for data representation?
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What defines a root node in a tree structure?
What defines a root node in a tree structure?
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How many edges are there in a tree with n nodes?
How many edges are there in a tree with n nodes?
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Which of the following correctly describes leaf nodes?
Which of the following correctly describes leaf nodes?
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What is the definition of the degree of a node?
What is the definition of the degree of a node?
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What does the height of a tree represent?
What does the height of a tree represent?
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Which statement is true about sibling nodes?
Which statement is true about sibling nodes?
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In tree terminology, what are internal nodes?
In tree terminology, what are internal nodes?
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How is the level of a node defined in a tree structure?
How is the level of a node defined in a tree structure?
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Which of the following statements is incorrect regarding the structure of trees?
Which of the following statements is incorrect regarding the structure of trees?
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What is true about the nodes in a tree except the root node?
What is true about the nodes in a tree except the root node?
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What defines the depth of a tree?
What defines the depth of a tree?
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What is a subtree in a tree structure?
What is a subtree in a tree structure?
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Which statement best describes a binary tree?
Which statement best describes a binary tree?
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Which type of tree guarantees that all leaf nodes are at the same depth?
Which type of tree guarantees that all leaf nodes are at the same depth?
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What characterizes a binary search tree (BST)?
What characterizes a binary search tree (BST)?
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Which of the following is NOT true about the ancestors of a node?
Which of the following is NOT true about the ancestors of a node?
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In a full binary tree, what is the maximum number of children a node can have?
In a full binary tree, what is the maximum number of children a node can have?
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Which of the following statements about paths in a tree is accurate?
Which of the following statements about paths in a tree is accurate?
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What distinguishes a complete binary tree from other types?
What distinguishes a complete binary tree from other types?
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Which of the following tree types can have more than two children per node?
Which of the following tree types can have more than two children per node?
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Study Notes
Tree Data Structures
- A tree is a non-linear data structure that organizes data hierarchically.
- Trees consist of nodes, which are connected by edges.
- Trees have a root node, which is the starting point.
- Branches (edges) connect nodes to their children.
Tree Terminology
- Root: The top node of the tree.
- Node: A data item in the tree.
- Edge: The link between two nodes.
- Parent: A node that has children.
- Child: A node that has a parent.
- Sibling: Nodes that share a common parent.
- Degree: The total number of children of a node.
- Leaf Node: A node with no children.
- Internal Node: A node that has at least one child.
- Level: The position of a node in the tree.
- Subtree: A part of a tree rooted at a node.
- Height: The maximum level in the tree (highest degree).
- Depth: The number of edges on the path from the root to a node.
- Path: Sequence of nodes and edges from one node to another.
- Forest: A set of trees; or a tree structure without a root.
Root
- The initial node from which the tree originates.
- A tree must have only one root.
Edge
- The connecting link between any two nodes.
- In a tree with n nodes, there are exactly n - 1 edges.
Parent
- The node that has children.
- A parent can have any number of children.
Child
- A node that has a parent.
Siblings
- Nodes that share a common parent.
Degree
- The total number of children of a node.
- The tree's degree is the highest degree of a node.
Internal Node
- A node with at least one child.
- All non-leaf nodes are internal nodes.
Leaf Node
- A node with no children.
- Leaf nodes are also external nodes or terminal nodes.
Level
- The position of a node in the tree, measured by the number of edges away from the root node.
- The root node is at level 0.
Height
- Equivalent to the maximum level in the tree.
Depth
- Measured by the number of edges between a node and the root.
Subtree
- A subsection of a tree rooted at a node, containing the node and all its descendants.
- Every child of a node forms a subtree.
Path
- The sequence of nodes and edges between two specified nodes in a tree.
- The length of a path is equal to the number of nodes in the path.
Ancestor
- Any node on the path between the root and a specific node.
Types of Trees
- Binary Tree: A tree where each node has at most two children.
- Complete Binary Tree: All levels are completely filled.
- Full Binary Tree: Every node has either zero or two children.
- Perfect Binary Tree: All leaf nodes are at the same depth, and all non-leaf nodes have two children.
- Ternary Tree: Each node has at most three children.
- N-ary Tree: A node can have any number of children.
Binary Search Tree (BST)
- A binary tree where the value of each node's left child is less than the node's value, and the value of each node's right child is greater than the node's value
- Enables efficient searching, insertion and deletion of data
Basic Operations of BST
- Tree Traversal
- Insert
- Search
- Deletion
Tree Traversal Techniques
- Inorder (Left-Root-Right)
- Preorder (Root-Left-Right)
- Postorder (Left-Right-Root)
- Level Order (Breadth-First)
Applications
- Hierarchical data representation (file systems, databases)
- Network routing algorithms (determining shortest paths)
- Artificial intelligence (decision trees)
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Description
This quiz covers the fundamental concepts of tree data structures, including their hierarchical organization and various terminologies associated with trees. You will learn about important terms like root, node, edge, degree, and more, essential for understanding tree structures in computer science.