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Data structure. is in computer science and technology throughout.
A term that is widely used in the field. It is used to reflect the internal composition of a data, that is, what constitutes a data from those component data, in what way, and in what structure. There are two types of data structures: logical data structures and physical data structures.
The logical data structure reflects the logical relationship between the component data, while the physical data structure reflects the storage arrangement of the component data inside the computer. A data structure is the form in which data exists. The data structure is a way of organizing information, and its purpose is to improve the efficiency of the algorithm, and it usually corresponds to the set of a set of algorithms, through which the data in the data structure can be operated in a certain way.
The main purpose of the data structure course is to introduce some commonly used data structures, clarify the internal logical relationship of data structures, discuss their storage representation in computers, and discuss the implementation algorithms of various operations on them in combination with various data structures.
For example, if you want to make an examination system now, you have to describe the information of each candidate, including name, gender, test number, etc., all this information constitutes a small data structure, each candidate has his own data structure, how these structures should be stored in the computer, what is the relationship between the various structures, what operations are needed for the whole, such as query, delete, how to store this operation will be more efficient, these are the problems that the data structure should solve.
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A data structure is the way a computer stores and organizes data. A data structure is a collection of data elements that have one or more specific relationships with each other. Often, a well-chosen data structure can lead to higher operational or storage efficiency.
Data structures are often associated with efficient retrieval algorithms and indexing techniques.
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Answer]: A data structure can be defined as: a set of data with certain logical relationships and behavioral characteristics represented (stored) by a computer.
Each element in this collection is an instance (object) of this data structure.
The (basic) data elements that make up a hidden data structure are called the nodes of this data structure.
From an object-oriented perspective, a data structure can be seen as a concrete implementation of an abstract data type. According to this point of view, the mathematical model of the mathematical infiltration type of abstract data corresponds to the logical structure of the data, and the specific representation of the model is called the storage structure of the data, and the specific implementation of the operation in the data type is the behavioral characteristics of the structure.
For example, a queue, as an abstract data type, is a "first-in, first-out" linear table; Its logical structure is a linear table; The queue has a sequential representation and a link representation within the computer; You can delete nodes, insert nodes, determine whether the queue is empty, and set the queue to empty.
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1. The main content of the data structure is to introduce the optimization of commonly used methods and algorithms in programming, so as to make the operation efficiency of the program higher.
2. The design of the algorithm depends on the data (logical) structure, and the implementation of the algorithm depends on the storage structure adopted.
3. The storage structure of data is essentially the realization of its logical structure in computer memory, in order to fully reflect the logical structure of a data, its image in memory includes two aspects, that is, the information between data elements and the relationship between data elements. Different data structures have their own number of operations. Data operations are manipulation algorithms defined on the logical structure of data, such as retrieval, insertion, deletion, update, and sorting.
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1. Set structure: The data elements in the structure have no other relationship with each other except that they belong to the same type.
2. Linear structure: There is a one-to-one relationship between the data elements in the structure.
3. Tree structure: There is a one-to-many relationship between the data elements in the structure.
4. Graphical structure or network structure: There is a many-to-many relationship between the data elements in the structure.
A sequential stack is a sequential storage structure of a stack, which refers to the sequential storage of elements in a stack from the bottom of the stack to the top of the stack with a continuous piece of storage space.
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