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What is a tree data structure?
What is a tree data structure?
A tree is a finite set of one or more nodes that shows a parent-child relation where there is a specially designated node called the root. The remaining nodes are partitioned into disjoint subsets, each of which is a subtree.
What is the root node in a tree?
What is the root node in a tree?
The root node is the topmost node in the tree. It has no parent node.
What are subtrees in a tree?
What are subtrees in a tree?
Subtrees are the children of the root node of a tree and are themselves trees.
Define Child node in a tree?
Define Child node in a tree?
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Define Sibling node in a tree data structure?
Define Sibling node in a tree data structure?
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What is the definition of an ancestor node in a tree?
What is the definition of an ancestor node in a tree?
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Define descendant node in a tree?
Define descendant node in a tree?
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What is the definition of a left subtree?
What is the definition of a left subtree?
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What is a right subtree?
What is a right subtree?
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What is the degree of a node in a tree?
What is the degree of a node in a tree?
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What is a leaf node?
What is a leaf node?
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What is an internal node?
What is an internal node?
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Explain how level is determined in a tree structure.
Explain how level is determined in a tree structure.
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How is the height or depth of a tree determined?
How is the height or depth of a tree determined?
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Define a binary tree?
Define a binary tree?
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What are the three subgroups of a binary tree?
What are the three subgroups of a binary tree?
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What is the purpose of the 'info' field in a binary tree node?
What is the purpose of the 'info' field in a binary tree node?
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A binary tree must always contain at least one node.
A binary tree must always contain at least one node.
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What is a Strictly binary tree?
What is a Strictly binary tree?
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What is a Complete Binary Tree?
What is a Complete Binary Tree?
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What is a skewed tree?
What is a skewed tree?
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What are expression trees?
What are expression trees?
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What is a binary search tree (BST)?
What is a binary search tree (BST)?
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What is an array representation of a binary tree?
What is an array representation of a binary tree?
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What is a linked representation of a binary tree?
What is a linked representation of a binary tree?
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How do you traverse a binary tree using pre-order traversal?
How do you traverse a binary tree using pre-order traversal?
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Why are threaded binary trees used?
Why are threaded binary trees used?
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Describe the two types of threaded binary trees.
Describe the two types of threaded binary trees.
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What is the purpose of a graph data structure?
What is the purpose of a graph data structure?
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Define a directed graph?
Define a directed graph?
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What is a vertex in a graph?
What is a vertex in a graph?
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Define a self-loop in a graph.
Define a self-loop in a graph.
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What is a multigraph?
What is a multigraph?
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Define a complete graph.
Define a complete graph.
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Define a path in an undirected graph.
Define a path in an undirected graph.
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Define a walk in a graph.
Define a walk in a graph.
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Define a simple path in a graph.
Define a simple path in a graph.
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How do you determine the length of a path in a graph?
How do you determine the length of a path in a graph?
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Define a cycle or circuit in a graph.
Define a cycle or circuit in a graph.
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What is a cyclic graph?
What is a cyclic graph?
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What is a disconnected graph?
What is a disconnected graph?
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What is a component in a graph?
What is a component in a graph?
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What is an adjacency matrix representation of a graph?
What is an adjacency matrix representation of a graph?
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What is an adjacency list representation of a graph?
What is an adjacency list representation of a graph?
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Define a weighted graph.
Define a weighted graph.
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Define an Euler path in a graph.
Define an Euler path in a graph.
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Define an Euler circuit in a graph.
Define an Euler circuit in a graph.
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What conditions must be met for a connected graph to have an Euler circuit?
What conditions must be met for a connected graph to have an Euler circuit?
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What conditions must be met for a connected graph to have an Euler path ?
What conditions must be met for a connected graph to have an Euler path ?
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Define a Hamiltonian circuit in a graph.
Define a Hamiltonian circuit in a graph.
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Define Hamiltonian path in a graph.
Define Hamiltonian path in a graph.
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What is hashing?
What is hashing?
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What is a hash key?
What is a hash key?
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What is a hash function?
What is a hash function?
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What is the purpose of using a hash function?
What is the purpose of using a hash function?
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What is collision in hashing?
What is collision in hashing?
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What is closed hashing?
What is closed hashing?
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What is linear probing?
What is linear probing?
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What is overflow in hashing?
What is overflow in hashing?
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How can overflow be handled in hashing?
How can overflow be handled in hashing?
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Study Notes
Nonlinear Data Structures - Tree Data Structures
- A tree is a finite set of one or more nodes
- It displays parent-child relationships
- There's a designated node called the root
- Remaining nodes are partitioned into disjoint subsets (subtrees), each a tree itself
- Subtrees are children of root nodes
Terminology
- Root node: The topmost node, with no parent
- Child: A node obtained from a parent node
- Siblings: Two or more nodes with the same parent
- Ancestors: Nodes on the path from a specified node to the root
- Descendants: Nodes reachable from a node by moving downwards in the tree
- Left descendants: Nodes in the left subtree of a node
- Right descendants: Nodes in the right subtree of a node
- Left subtree: All left descendants of a node
- Right subtree: All right descendants of a node
- Parent: A node with a subtree (left or right)
- Degree: The number of subtrees of a node
- Leaf node: A node with a degree of zero (no children) or a terminal node
- Internal nodes: Nodes that are not leaf nodes
- External nodes: The NULL link of any node in a tree.
Level/Height/Depth in tree
- Level: The distance of a node from the root
- Height/depth: The maximum level in the tree
Binary Trees
- Definition: A finite set of nodes, possibly empty, that consist of a root and at most two subtrees: left and right subtree
- Root: The first node of the tree
- Left subtree: Nodes connected to the left of root
- Right subtree: Nodes connected to the right of root
Binary Tree Representation
- Node = llink + info + rlink
- llink: Address of left subtree
- info: Actual data
- rlink: Address of right subtree
Types of Binary Trees
- Strictly binary tree / Full binary tree: Every node has exactly two children or no children.
- Skewed tree: Consists of only left (or right) subtree
- Complete binary tree: All levels except possibly the last level are completely filled. The nodes in the last level are filled from left to right.
- Expression tree: Internal nodes are operators and leaf nodes are operands
- Binary search tree (BST): The key in each node is greater than or equal to any key in its left subtree and less than or equal to any key in its right subtree
Binary Tree Traversals
- Preorder: Root, Left, Right
- Inorder: Left, Root, Right
- Postorder: Left, Right, Root
Graph Theory Terminologies
- Vertex: A node in a graph.
- Edge: A path or a line connecting two vertices.
- Self-loop: An edge that connects a vertex to itself.
- Multigraph: A graph with a multiple occurrence of the same edge between two vertices.
- Complete graph: A graph in which an edge exists between every pair of vertices
- Directed Graph: A graph with a directed edge, in which every edge is directed.
- Undirected Graph: A graph with undirected edges.
Path and Cycles
- Path: A sequence of adjacent vertices in a graph.
- Cycle/Circuit: A path that starts and ends at the same vertex.
- Length of path: The number of edges in a path.
Connected Graphs
- Connected Graph: A graph is considered to be connected if there's a path between any two vertices
- Disconnected Graph: If a graph is not connected, it is considered to be disconnected
Graph Representation
- Adjacency Matrix: A two-dimensional array where if there is an edge between vertices i and j, the corresponding matrix element A[i][j] stores its weight
- Adjacency List: An array of linked lists where each location represents a vertex. Adjacent vertices to a vertex are stored in the linked list
Weighted Graphs
- A graph in which the edges have weights to represent costs or distances
Euler Path/Circuit
- An Euler path is a path that visits every edge exactly once
- An Euler circuit is a circuit that visits every edge exactly once, beginning and ending at the same vertex.
Hamiltonian Circuits
- A Hamiltonian circuit is a circuit that traverses every vertex exactly once
- A Hamiltonian path is one that traverses each vertex exactly once, but does not have to start or end at the same vertex.
Hashing
- Hashing: A technique to index and retrieve data using a hash key. It's implemented using a hash table, often an array.
- Hash Table: Data is mapped to an index using a hash function. Values are stored in the table at the index calculated by the hash function.
- Hash Collision: When two or more values map to the same location in the hash table.
- Collision Avoidance (techniques): Open Hashing (using linked lists), Closed Hashing (different collision-resolving strategies like linear-probing).
- Overflow: Occurs when the hash table is full and more data needs to be added. Issues handled by resizing or using a more efficient hash function.
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Description
Explore the fundamentals of tree data structures in this quiz. Understand key terminologies such as root nodes, child nodes, and subtrees, and how they interact within a tree. Test your knowledge of parent-child relationships and the hierarchy present in tree structures.