The basic contents of data structure include the following aspects:
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How data is stored: Data structures focus on how data is stored and organized in computer memory. Common storage methods include sequential storage and chain storage.
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Basic operations: The data structure defines the basic operations for operating data, such as insertion, deletion, search, traversal, etc. These operations are the core operations for adding, deleting, modifying and checking the data structure.
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Linear Structure: Linear structure is one of the simplest data structures where there is a one-to-one relationship between data elements. Common linear structures include arrays, linked lists, stacks, and queues.
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Tree structure: The tree structure consists of nodes and edges, and each node can have multiple sub-nodes. Common tree structures include binary trees, AVL trees, B-trees, etc.
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Graph structure: A graph structure consists of nodes and edges, and there can be many types of relationships between nodes. Common graph structures include directed graphs and undirected graphs.
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Sorting and searching: Sorting algorithms are used to arrange data in a certain order. Common sorting algorithms include bubble sort, quick sort, merge sort, etc. Search algorithms are used to find specified elements in data. Common search algorithms include linear search, binary search, hash table, etc.
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Algorithm complexity analysis: The data structure has a great relationship with the efficiency of the algorithm. By analyzing the time complexity and space complexity of the algorithm, the execution efficiency of the algorithm can be evaluated.
The above are the basic contents of data structures, which form the basis for organizing and operating data in computer science. An in-depth understanding and mastery of these contents is very important for writing efficient and maintainable programs and solving practical problems.