hierarchical data structure的意思|示意

美 / ˌhaiəˈrɑ:kikəl ˈdeitə ˈstrʌktʃə / 英 / ˌhaɪəˈrɑrkɪkəl ˈdetə ˈstrʌktʃɚ /

层次数据结构


hierarchical data structure的用法详解

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中文标题:英语单词hierarchical data structure的用法讲解

Hierarchical data structure(HDS)is one of the most common data structures used in computer science,which is used to store, organize and retrieve data. It can be seen as a tree structure, where each node has its own data, and is connected to other nodes.

HDS can be used to model the relationships between objects of different complexity. For example, a university database can be set up to store information about students, faculty and courses, and the database can be organized in a hierarchical structure using the student-faculty-course model. The nodes of the tree can store information about a student, faculty or course.

HDS can also be used to store large amounts of data. It is especially useful for searching for items in a large database and for managing very complex data sets. This is because HDS allows for efficient organization and retrieval of data.

HDS can also be used to represent organizational structures. In a company or organization, each department can be structured in a hierarchical data structure, where each node corresponds to a different department. This makes it easier to visualize the structure and make changes when needed.

Overall, hierarchical data structure is a very powerful tool that can be used to efficiently manage data sets of any complexity. It can be applied in a wide range of fields, such as databases, organizational structures, communication networks and more.

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hierarchical data structure相关短语

1、 hierarchical data base structure 释义层次数据库结构

2、 hierarchical structure data 系统结构数据