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Tree (mathematics) | Wikipedia audio article
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This is an audio version of the Wikipedia Article:
00:00:47 1 Definitions
00:01:11 1.1 Tree
00:01:59 1.2 Forest
00:02:47 1.3 Polytree
00:03:35 1.4 Polyforest
00:04:23 1.5 Rooted tree
00:05:11 1.6 Ordered tree
00:05:59 2 Properties
00:06:47 3 Enumeration
00:07:35 3.1 Labeled trees
00:07:59 3.2 Unlabeled trees
00:08:46 4 Types of trees
00:09:34 5 See also
00:10:22 6 Notes
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Speaking Rate: 0.7033686251578783
Voice name: en-US-Wavenet-F
"I cannot teach anybody anything, I can only make them think."
- Socrates
SUMMARY
=======
In graph theory, a tree is an undirected graph in which any two vertices are connected by exactly one path, or equivalently a connected acyclic undirected graph. A forest is an undirected graph in which any two vertices are connected by at most one path, or equivalently an acyclic undirected graph, or equivalently a disjoint union of trees.A polytree (or directed tree or oriented tree or singly connected network) is a directed acyclic graph (DAG) whose underlying undirected graph is a tree. A polyforest (or directed forest or oriented forest) is a directed acyclic graph whose underlying undirected graph is a forest.
The various kinds of data structures referred to as trees in computer science have underlying graphs that are trees in graph theory, although such data structures are generally rooted trees. A rooted tree may be directed, called a directed rooted tree, either making all its edges point away from the root—in which case it is called an arborescence or out-tree—or making all its edges point towards the root—in which case it is called an anti-arborescence or in-tree. A rooted tree itself has been defined by some authors as a directed graph. A rooted forest is a disjoint union of rooted trees. A rooted forest may be directed, called a directed rooted forest, either making all its edges point away from the root in each rooted tree—in which case it is called a branching or out-forest—or making all its edges point towards the root in each rooted tree—in which case it is called an anti-branching or in-forest.
The term "tree" was coined in 1857 by the British mathematician Arthur Cayley.
00:00:47 1 Definitions
00:01:11 1.1 Tree
00:01:59 1.2 Forest
00:02:47 1.3 Polytree
00:03:35 1.4 Polyforest
00:04:23 1.5 Rooted tree
00:05:11 1.6 Ordered tree
00:05:59 2 Properties
00:06:47 3 Enumeration
00:07:35 3.1 Labeled trees
00:07:59 3.2 Unlabeled trees
00:08:46 4 Types of trees
00:09:34 5 See also
00:10:22 6 Notes
Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago.
Learning by listening is a great way to:
- increases imagination and understanding
- improves your listening skills
- improves your own spoken accent
- learn while on the move
- reduce eye strain
Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone.
Listen on Google Assistant through Extra Audio:
Other Wikipedia audio articles at:
Upload your own Wikipedia articles through:
Speaking Rate: 0.7033686251578783
Voice name: en-US-Wavenet-F
"I cannot teach anybody anything, I can only make them think."
- Socrates
SUMMARY
=======
In graph theory, a tree is an undirected graph in which any two vertices are connected by exactly one path, or equivalently a connected acyclic undirected graph. A forest is an undirected graph in which any two vertices are connected by at most one path, or equivalently an acyclic undirected graph, or equivalently a disjoint union of trees.A polytree (or directed tree or oriented tree or singly connected network) is a directed acyclic graph (DAG) whose underlying undirected graph is a tree. A polyforest (or directed forest or oriented forest) is a directed acyclic graph whose underlying undirected graph is a forest.
The various kinds of data structures referred to as trees in computer science have underlying graphs that are trees in graph theory, although such data structures are generally rooted trees. A rooted tree may be directed, called a directed rooted tree, either making all its edges point away from the root—in which case it is called an arborescence or out-tree—or making all its edges point towards the root—in which case it is called an anti-arborescence or in-tree. A rooted tree itself has been defined by some authors as a directed graph. A rooted forest is a disjoint union of rooted trees. A rooted forest may be directed, called a directed rooted forest, either making all its edges point away from the root in each rooted tree—in which case it is called a branching or out-forest—or making all its edges point towards the root in each rooted tree—in which case it is called an anti-branching or in-forest.
The term "tree" was coined in 1857 by the British mathematician Arthur Cayley.