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What this article shares with you is about the main contents of data structure research. The editor thinks it is very practical, so I share it with you to learn. I hope you can get something after reading this article. Let's take a look at it with the editor.

The study of data structure mainly includes three aspects, namely: the logical structure of data, the storage structure of data, and the operation of the data defined above.

Introduction to data structure:

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.

Define

Data structure (data structure) is a collection of data elements with structural characteristics, which studies the logical structure of data, the physical structure of data and the relationship between them, defines the appropriate operation for this structure, designs the corresponding algorithm, and ensures that the new structure obtained after these operations still maintains the original structure type. In short, a data structure is a collection of data elements that have one or more specific relationships with each other, that is, a collection of data elements with a "structure". "structure" refers to the relationship between data elements, divided into logical structure and storage structure.

The logical structure and physical structure of data are two closely related aspects of data structure, and the same logical structure can correspond to different storage structures. The design of the algorithm depends on the logical structure of the data, and the implementation of the algorithm depends on the specified storage structure.

The research content of data structure is the foundation of constructing complex software system, and its core technology is decomposition and abstraction. Through decomposition, the data can be divided into three levels; then through abstraction, the specific content of the data elements is discarded, and the logical structure is obtained. Similarly, through decomposition, the processing requirements are divided into various functions, and then the implementation details are abstracted to get the definition of the operation.

The combination of the above two aspects can transform the problem into a data structure. This is a process from concrete (that is, concrete problems) to abstract (that is, data structures). Then, the storage structure and implementation operation are further obtained by increasing the consideration of the implementation details, so as to complete the design task. This is a process from abstract (that is, data structure) to concrete (that is, concrete implementation).

These are the main contents of data structure research, and the editor believes that there are some knowledge points that we may see or use in our daily work. I hope you can learn more from this article. For more details, please follow the industry information channel.

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