Shulou(Shulou.com)06/03 Report--

In this issue, the editor will bring you what the data structure means. The article is rich in content and analyzes and narrates it from a professional point of view. I hope you can get something after reading this article.

Data structure is the way that computers store and organize data. A data structure is a collection of data elements that have one or more specific relationships with each other. In general, carefully selected data structures can lead to higher operational or storage efficiency. Data structures are often related to efficient retrieval algorithms and indexing techniques.

There are many kinds of data structures. generally speaking, data are simply classified according to their logical structure, including linear structure and nonlinear structure.

To put it simply, the linear structure means that each node in the table has a linear relationship. If described in terms of the language of the data structure

Linear structure:

1. the linear structure is a non-empty set.

2. The linear structure has one and only one start node and one terminal node.

3. Linear structure all nodes have at most one direct antecedent node and one direct successor node.

Linear table is a typical linear structure, and stacks, queues and strings all belong to linear structure.

Nonlinear structure

To put it simply, the nonlinear structure means that there are multiple corresponding relationships between the nodes in the table. If described in terms of the language of the data structure, the nonlinear structure should include the following points:

1. The nonlinear structure is a non-empty set.

2. A node of a nonlinear structure may have multiple direct predecessor nodes and multiple direct successor nodes.

In practical application, data structures such as array, generalized table, tree structure and graph structure all belong to nonlinear structure.

The above is what the data structure shared by the editor means. If you happen to have similar doubts, you might as well refer to the above analysis to understand. If you want to know more about it, you are welcome to follow the industry information channel.

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