Binary Tree Traversal Methods Quiz
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Questions and Answers

What is the primary strategy used in depth-first search (DFS)?

  • Starts from the root and explores all depth nodes before backtracking. (correct)
  • Only examines leaf nodes in the binary tree first.
  • Visits nodes in a breadth-first manner.
  • Explores all nodes at a present depth level first.
  • Which method would you use to explore nodes at the current level before moving deeper into the tree?

  • Breadth-First Search (BFS) (correct)
  • Heuristic Search
  • Random Search
  • Depth-First Search (DFS)
  • What does the DFS function return if the value being searched for is not found?

  • The node containing the value
  • An error message
  • True
  • False (correct)
  • In the context of BFS, what signifies the end of the search process?

    <p>Finding the node with the desired value.</p> Signup and view all the answers

    What is indicated when the DFS search function's root parameter is null?

    <p>The tree is empty.</p> Signup and view all the answers

    What are the three main components of a node in a binary tree?

    <p>Data, Pointer to left child, Pointer to right child</p> Signup and view all the answers

    What traversal method does Breadth-First Search (BFS) use in a binary tree?

    <p>Queues</p> Signup and view all the answers

    Which of the following is NOT a method used in Depth-First Search (DFS) traversal for binary trees?

    <p>Level order</p> Signup and view all the answers

    What does the preorder traversal function do first?

    <p>Processes the root node</p> Signup and view all the answers

    What is the role of the 'root' pointer in the BinaryTree class?

    <p>It points to the topmost node in the tree</p> Signup and view all the answers

    In the context of BFS, what is another name for Level Order Traversal?

    <p>Depth Level Traversal</p> Signup and view all the answers

    What happens in the preorder traversal if the current node is null?

    <p>The function stops and returns</p> Signup and view all the answers

    Which technique is primarily used to implement Depth-First Search (DFS) in binary trees?

    <p>Recursion</p> Signup and view all the answers

    What characterizes a full binary tree?

    <p>Every node has either 0 or 2 child nodes.</p> Signup and view all the answers

    Which type of tree allows for more than two child nodes per parent?

    <p>General Tree</p> Signup and view all the answers

    In a complete binary tree, which of the following statements is true?

    <p>All levels must be completely filled except possibly the last.</p> Signup and view all the answers

    What is the height of a binary tree with 4 levels?

    <p>5</p> Signup and view all the answers

    Which of the following trees has all leaf nodes at the same level?

    <p>Perfect Binary Tree</p> Signup and view all the answers

    What distinguishes a binary search tree (BST) from other types of binary trees?

    <p>All left descendants are less than the node and all right descendants are greater.</p> Signup and view all the answers

    Which tree type can have more than two children but has no specific rules for hierarchy?

    <p>General Tree</p> Signup and view all the answers

    What is the depth of a binary tree with a height of 5?

    <p>4</p> Signup and view all the answers

    What is the definition of a leaf node in a binary tree?

    <p>A node that has no children or both children are null.</p> Signup and view all the answers

    Which statement about the height of a binary tree is correct?

    <p>Height is the total number of nodes from the root to the deepest leaf node.</p> Signup and view all the answers

    How is the depth of a node defined in a binary tree?

    <p>The total number of edges from a specific node to the root node.</p> Signup and view all the answers

    What is the maximum number of nodes in a binary tree of height H?

    <p>2H - 1</p> Signup and view all the answers

    What does the degree of a node represent in a binary tree?

    <p>The total number of child nodes that a node has.</p> Signup and view all the answers

    What is true about the root node of a binary tree?

    <p>It has no parent and is the starting point for all nodes.</p> Signup and view all the answers

    In terms of nodes in a binary tree, which of the following statements is accurate?

    <p>The minimum number of nodes is equal to the height of the tree.</p> Signup and view all the answers

    Which of the following defines the in-degree of a node?

    <p>It is the number of edges arriving at that node.</p> Signup and view all the answers

    Study Notes

    Tree Data Structure

    • A tree is a non-linear, hierarchical data structure consisting of nodes connected by edges.
    • This structure has a root node, parent nodes, child nodes, leaf nodes, and subtrees.
    • Nodes are connected by edges.
    • Trees are non-linear, unlike linear data structures such as linked lists, stacks, or queues.

    Types of Trees

    • General Tree: A general tree has no constraints on the number of children a node can have. A node may have a minimum of 0 or a maximum of 'n' children.

    • Binary Tree: A binary tree is a special type of tree where each node can have a maximum of two children (left and right).

    • Binary Search Tree (BST): A binary tree where values in the left subtree are less than the root node's value and values in the right subtree are greater than the root node's value

    • Full Binary Tree: All nodes have either zero or two children. No nodes have only one child.

    • Complete Binary Tree: All levels except possibly the last are filled. The last level is filled from left to right.

    • Perfect Binary Tree: A complete binary tree where all leaf nodes are on the same level. Each internal node has two children.

    Properties of Trees/Binary Trees

    • Root: The topmost node in a tree.
    • Node: A single element within a tree
    • Edge: A connection between two nodes in a tree.
    • Parent Node: A node that has one or more child nodes.
    • Child Node: A node that is directly connected to a parent node.
    • Leaf Node: A node with no children.
    • Level: The level of a node is determined by its distance from the root. The root node is at level 0.
    • Depth: The depth of a node is the number of edges from the root to that node.
    • Height: The height of a tree is the number of edges from the root to the farthest leaf node.
    • Subtree: A subtree consists of a node and all its descendants.
    • Sibling: Nodes that share the same parent.
    • Path: A sequence of edges connecting two nodes.
    • Degree of a Node: The number of child nodes a node has.

    Binary Tree Operations

    • Traversal: Visiting all nodes in a specific order. (Level order, Pre-order, In order, Post-order) -Level Order: Visiting all nodes at a given level before moving to the next level.
    • Preorder: Visiting the root node, then the left subtree, then the right subtree
    • Inorder: Visiting the left subtree, then the root node, then the right subtree.
    • Postorder: Visiting the left subtree, then the right subtree, then the root node.
    • Searching: Finding a node with a specific value.
    • Insertion: Adding a new node to the tree.
    • Deletion: Removing a node from the tree.

    Binary Tree Representations

    • Typically, each node in a binary tree stores:
    • Data (the value)
    • A pointer to the left child
    • A pointer to the right child

    Binary Search Tree (BST):

    • A binary tree where every node's value is greater than all values in its left subtree and less than all values in its right subtree.
    • Efficient for searching.

    Complexity Analysis

    • Time complexity for an operation in a BST or binary tree depends on balanced/unbalanced nature
    • Operations such a searching, insertion and deletion can take either O(n) or O(log n).

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    Related Documents

    Lecture 7 - Tree & BST PDF

    Description

    Test your knowledge on binary tree traversal techniques including Depth-First Search (DFS) and Breadth-First Search (BFS). This quiz covers key methods, components of nodes, and traversal properties essential for understanding binary trees. Perfect for computer science students eager to master these concepts!

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