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What is the meaning of 'breadth' in breadth first search?
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I was learning about breadth first search and a question came in my mind that why BFS is called so. In the book Introduction to Algorithms by CLRS, I read the following reason for this:
Breadth-first search is so named because it expands the frontier
between discovered and undiscovered vertices uniformly across the
breadth of the frontier.
However, I'm not able to understand the meaning of this statement. I'm confused about this word "frontier" and breadth of that frontier.
So, can someone please answer this question in a way which is easy to understand for a beginner like me?
graphs graph-theory shortest-path graph-traversal
asked 3 hours ago
DG4DG4
1135
$endgroup$
add a comment |
$begingroup$
I was learning about breadth first search and a question came in my mind that why BFS is called so. In the book Introduction to Algorithms by CLRS, I read the following reason for this:
Breadth-first search is so named because it expands the frontier
between discovered and undiscovered vertices uniformly across the
breadth of the frontier.
However, I'm not able to understand the meaning of this statement. I'm confused about this word "frontier" and breadth of that frontier.
So, can someone please answer this question in a way which is easy to understand for a beginner like me?
graphs graph-theory shortest-path graph-traversal
asked 3 hours ago
DG4DG4
1135
$endgroup$
add a comment |
$begingroup$
I was learning about breadth first search and a question came in my mind that why BFS is called so. In the book Introduction to Algorithms by CLRS, I read the following reason for this:
Breadth-first search is so named because it expands the frontier
between discovered and undiscovered vertices uniformly across the
breadth of the frontier.
However, I'm not able to understand the meaning of this statement. I'm confused about this word "frontier" and breadth of that frontier.
So, can someone please answer this question in a way which is easy to understand for a beginner like me?
graphs graph-theory shortest-path graph-traversal
asked 3 hours ago
DG4DG4
1135
$endgroup$
I was learning about breadth first search and a question came in my mind that why BFS is called so. In the book Introduction to Algorithms by CLRS, I read the following reason for this:
Breadth-first search is so named because it expands the frontier
between discovered and undiscovered vertices uniformly across the
breadth of the frontier.
However, I'm not able to understand the meaning of this statement. I'm confused about this word "frontier" and breadth of that frontier.
So, can someone please answer this question in a way which is easy to understand for a beginner like me?
graphs graph-theory shortest-path graph-traversal
graphs graph-theory shortest-path graph-traversal
asked 3 hours ago
DG4DG4
1135
asked 3 hours ago
DG4DG4
1135
edited 2 hours ago
DG4
asked 3 hours ago
DG4DG4
1135
asked 3 hours ago
DG4DG4
1135
asked 3 hours ago
DG4DG4
1135
1135
add a comment |
add a comment |
1 Answer
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$begingroup$
Consider the data structure used to represent the search. In a BFS, you use a queue. If you come across an unseen node, you add it to the queue.
The “frontier” is the set of all nodes in the search data structure. The queue will will iterate through all nodes on the frontier sequentially, thus iterating across the breadth of the frontier. DFS will always pop the most recently discovered state off of the stack, thus always iterating over the deepest part of the frontier.
Consider the image below. Notice how the DFS goes straight to the deepest parts of the tree whereas BFS iterates over the breadth of each level.
Image here
answered 2 hours ago
Bryce KilleBryce Kille
665
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Bryce Kille is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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$begingroup$
Consider the data structure used to represent the search. In a BFS, you use a queue. If you come across an unseen node, you add it to the queue.
The “frontier” is the set of all nodes in the search data structure. The queue will will iterate through all nodes on the frontier sequentially, thus iterating across the breadth of the frontier. DFS will always pop the most recently discovered state off of the stack, thus always iterating over the deepest part of the frontier.
Consider the image below. Notice how the DFS goes straight to the deepest parts of the tree whereas BFS iterates over the breadth of each level.
Image here
answered 2 hours ago
Bryce KilleBryce Kille
665
New contributor
Bryce Kille is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
Consider the data structure used to represent the search. In a BFS, you use a queue. If you come across an unseen node, you add it to the queue.
The “frontier” is the set of all nodes in the search data structure. The queue will will iterate through all nodes on the frontier sequentially, thus iterating across the breadth of the frontier. DFS will always pop the most recently discovered state off of the stack, thus always iterating over the deepest part of the frontier.
Consider the image below. Notice how the DFS goes straight to the deepest parts of the tree whereas BFS iterates over the breadth of each level.
Image here
answered 2 hours ago
Bryce KilleBryce Kille
665
New contributor
Bryce Kille is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
Consider the data structure used to represent the search. In a BFS, you use a queue. If you come across an unseen node, you add it to the queue.
The “frontier” is the set of all nodes in the search data structure. The queue will will iterate through all nodes on the frontier sequentially, thus iterating across the breadth of the frontier. DFS will always pop the most recently discovered state off of the stack, thus always iterating over the deepest part of the frontier.
Consider the image below. Notice how the DFS goes straight to the deepest parts of the tree whereas BFS iterates over the breadth of each level.
Image here
answered 2 hours ago
Bryce KilleBryce Kille
665
New contributor
Bryce Kille is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
Consider the data structure used to represent the search. In a BFS, you use a queue. If you come across an unseen node, you add it to the queue.
The “frontier” is the set of all nodes in the search data structure. The queue will will iterate through all nodes on the frontier sequentially, thus iterating across the breadth of the frontier. DFS will always pop the most recently discovered state off of the stack, thus always iterating over the deepest part of the frontier.
Consider the image below. Notice how the DFS goes straight to the deepest parts of the tree whereas BFS iterates over the breadth of each level.
Image here
answered 2 hours ago
Bryce KilleBryce Kille
665
New contributor
Bryce Kille is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered 2 hours ago
Bryce KilleBryce Kille
665
New contributor
Bryce Kille is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered 2 hours ago
Bryce KilleBryce Kille
665
answered 2 hours ago
Bryce KilleBryce Kille
665
665
New contributor
Bryce Kille is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Bryce Kille is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Bryce Kille is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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