Home >Common Problem >The dos directory has a tree structure, right?
DOS is the abbreviation of Disk Operating System, which is the disk operating system. It is an operating system based on disk management. Before the publication of Microsoft's Windows 2000, the DOS system basically dominated the personal operating system world.
Even Windows3.x/9x are large-scale GUI interface applications built on the DOS platform. With the popularity of the Windows operating system, the DOS system has gradually become a piece of history, losing its former brilliance. (Recommended learning: web front-end video tutorial)
But despite Windows’s popularity now, there are still many problems that are difficult or unsolvable, and at this time our DOS The system can then show its talents. Using DOS commands to solve some problems will often get twice the result with half the effort.
Up to now, a large number of microcomputers are still running using the DOS operating system, so it is necessary to master the basic commands of DOS.
The DOS directory uses a tree structure.
The tree structure is a one-level nested structure. The outer and inner layers of a tree structure have similar structures, so this structure can often be represented recursively.
Various tree diagrams in classic data structures are a typical tree structure: a tree can be simply represented as a root, a left subtree, and a right subtree. The left subtree and the right subtree have their own subtrees.
Tree structure refers to a data structure in which there is a "one-to-many" tree relationship between data elements. It is an important type of nonlinear data structure.
In the tree structure, the root node has no predecessor node, and each other node has only one predecessor node. Leaf nodes have no subsequent nodes, and the number of subsequent nodes for each remaining node can be one or multiple.
In addition, the tree structure in mathematical statistics can represent hierarchical relationships.
Tree structures are also used in many other aspects. Can express subordination and parallel relationships.
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