Traverse: Difference between revisions
CSV import |
CSV import |
||
| (One intermediate revision by the same user not shown) | |||
| Line 35: | Line 35: | ||
{{climbing-stub}} | {{climbing-stub}} | ||
{{computing-stub}} | {{computing-stub}} | ||
__NOINDEX__ | |||
{{No image}} | |||
__NOINDEX__ | __NOINDEX__ | ||
Latest revision as of 01:31, 18 March 2025
Traverse[edit]
Traverse is a term used in various fields to describe different concepts related to movement, crossing, or surveying. The specific meaning of traverse can vary significantly depending on the context in which it is used.
Mathematics[edit]
In mathematics, a traverse refers to the process of visiting all the nodes in a graph or tree data structure. This can be done using different traversal methods such as depth-first search (DFS) or breadth-first search (BFS).
Surveying[edit]
In surveying, a traverse is a method of establishing control networks. It involves a series of connected lines whose lengths and angles are measured. There are two main types of traverses:
- **Open Traverse**: A traverse that does not return to the starting point.
- **Closed Traverse**: A traverse that forms a closed loop, returning to the starting point.
Climbing[edit]
In climbing, a traverse refers to a horizontal movement across a rock face or climbing wall. Climbers often traverse to reach different parts of a climb or to avoid obstacles.
Computing[edit]
In computing, particularly in the context of data structures, traversal refers to the process of accessing each element in a data structure, such as an array, linked list, or binary tree. Common traversal algorithms include in-order traversal, pre-order traversal, and post-order traversal.
Related Pages[edit]
- Graph theory
- Tree (data structure)
- Depth-first search
- Breadth-first search
- Surveying
- Climbing
- Data structures

This article is a mathematics-related stub. You can help WikiMD by expanding it!
This surveying related article is a stub. You can help WikiMD by expanding it.

