In the data structure, what can the data structure be logically divided into?

In data structures, data structures can be logically divided into linear structures and non-linear structures. Logical structure is the logical relationship between data elements. It describes data from a logical relationship and has nothing to do with the storage of data. Therefore, according to the relationship between data elements, logical structure is divided into two categories: linear structure and non-linear structure.

The operating environment of this tutorial: Windows 7 system, Dell G3 computer.

Data structure is the way a computer stores and organizes data. A data structure refers to a collection of data elements that have one or more specific relationships with each other. Often, carefully selected data structures can lead to higher operating or storage efficiency. Data structures are often related to efficient retrieval algorithms and indexing techniques.

The logical structure of data refers to the data structure that reflects the logical relationship between data elements. The logical relationship refers to the before and after relationship between data elements, regardless of their storage location in the computer.

There are many types of data structures. Generally speaking, data are simply classified according to their logical structure, including linear structures and non-linear structures.

Linear structure

Simply put, linear structure means that each node in the table has a linear relationship. If described in the language of data structure, the linear structure should include the following points:

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. All nodes in the linear structure have at most one direct predecessor node and one direct successor node.

Linear tables are typical linear structures, and stacks, queues, strings, etc. are all linear structures.

Nonlinear structure

Simply put, the nonlinear structure means that there are multiple correspondences between each node in the table. If described in the language of data structure, the nonlinear structure should include the following points:

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

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

In practical applications, data structures such as arrays, generalized tables, tree structures, and graph structures are all nonlinear structures.

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