Tree Details Terms  Tree  Data Structure Using Java  Summary and Q&A
TL;DR
This video explains important terms in tree structures, including leaves, internal nodes, siblings, depth, and height.
Key Insights
 🦔 Tree structures consist of nodes connected to a root by directed or undirected edges.
 👶 Nodes can have an arbitrary number of children, but there is typically a limit of two children per node.
 👶 Leaves or external nodes are nodes without any children.
 👶 Internal nodes are nodes with at least one child.
 👪 Siblings are nodes with the same parent.
 🦔 The depth of a node is the number of edges from the root to the node.
 🦔 The height of a node is the number of edges from the node to the deepest leaf.
Transcript
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Questions & Answers
Q: What is the definition of an internal node in a tree structure?
An internal node is a node that has at least one child. It is the opposite of an external node, which has no children.
Q: How is the depth of a node determined in a tree structure?
The depth of a node is calculated by counting the number of edges from the root to the node. It represents the level at which the node is located in the tree.
Q: What is the significance of leaves in a tree structure?
Leaves, also known as external nodes, are nodes without any children. They represent the endpoints of the tree and have no nodes connected to them.
Q: How is the height of a node defined in a tree structure?
The height of a node is determined by counting the number of edges from the node to the deepest leaf. It represents the longest path from the node to any leaf in the tree.
Summary & Key Takeaways

Tree structures consist of nodes connected to a root, with each node potentially having an arbitrary number of children.

Nodes with no children are called leaves or external nodes, while nodes with children are called internal nodes.

Nodes with the same parent are called siblings, and the depth of a node is the number of edges from the root to the node.

The height of a node is the number of edges from the node to the deepest leaf.