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

Today, I would like to talk to you about what is the structure of the diagram, many people may not know much about it. In order to make you understand better, the editor summarized the following content for you. I hope you can gain something according to this article.

The structure of a graph is a data structure in which there may be a certain relationship between any two data objects, and a data structure is a collection of data elements with structural characteristics. it studies the logical structure of the data, the physical structure of the data and the relationship between them, and defines the appropriate operation for this structure, and designs the corresponding algorithm.

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The structure of a graph is a data structure in which there may be a specific relationship between any two data objects.

Related introduction:

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).

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