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Data Structures

In computing, the data structures are a format for organizing, managing, and storing data that allows for efficient access and modification.

More specifically, a data structure is a collection of data values, the relationships between them, and the functions or operations performed on the data.

Use Of Data Structures

Data structures serve as the base for abstract data types (ADTs).

The ADT defines the most logical form of the data type.

Also, the data structure implements the physical form of the data type.

Different types of data structures are appropriate for applications, and some are highly specialized for specific tasks.

For example, relational databases typically use B-tree indexes for data retrieval.

While compiler implementations typically use hash tables to look up identifiers.

Data structures efficiently manage large amounts of data for applications such as large databases and Internet indexing services.

In general, efficient data structures are essential to designing efficient algorithms.

Some design methods and programming languages ​​emphasize data structures rather than algorithms as the most important organizational factor in software design.

Data structures can help organize the primary storage and retrieval of information stored in both central and secondary storage.

Implementation

Data structures are generally based on a computer’s ability to retrieve and store data anywhere in its memory.

Also, we specify it by a pointer, a string of bits representing a memory address that we can store in memory and manipulate for the program.

Thus, array and record data structures are based on computing the addresses of data items with arithmetic operations.

While concatenated data structures depend on storing the addresses of data items within the system.

Implementing a data structure generally requires writing a series of procedures that create and manipulate instances of that structure.

Also, the efficiency of a data structure cannot be analyzed separately from these operations.

Hence, this observation motivates the theoretical concept of an abstract data type.

A data structure is indirectly defined by the operations that can be performed on it and its mathematical properties.

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