Data structures are the basic constructs for any software implementation; so, it is a crucial task to select a suitable data structure for making a program effective. An internal data structure can be defined as a way of storing and organizing the data so that accessing and retrieving data becomes easier. Typically used data structures are: Array, Linked list, Tree, Stack, Hash table and graphs. These data structures aid to store and retrieve data easily and efficiently, furthermore enhancing the performance of a software program. In object-oriented programming languages, data structures are implemented using classes which organize data and functions in a well-organized manner so that it becomes easy to modify or access data. Data structures are classified as: Primitive and Non-primitive. Primitive data structure represents basic values as data types like int, char, float, Boolean whereas Non-primitives allow storing and retrieving multiple values as data structures such as array, linked list, tree or graphs.
A linear data structure has all its elements arranged in sequential or linear manner that means one element after another. Types of linear data structures are array, linked list, stack and queue. Various data elements are attached adjacent to each other in order to ensure quick traversing of elements. These require sequential memory for data storage, and it is allocated while implementing a linear data structure.
Array: An array is a group of homogeneous type of data elements with a data type such as int, char or float. Array can be one, two or multi-dimensional and it provides a unique index value for each element of array. The elements of an array are arranged as:
The operations that can be performed are insert, delete or search an element from an array.
Linked List: This is a dynamic data structure that offers an arrangement of elements using a list which has pointers to refer to next element of the list. The elements in linked list are stored non-contiguously in the memory. It has nodes/elements as data and pointer as reference to next node. Operations such as traversal, insertion and deletion of the nodes can be performed on linked list.
Stack and Queue: These are abstract data structures. Stack works on the principle of LIFO (Last in First Out) and the operations applied on stack is at one end that is top, e.g. a heap of towels or a pile of dish plates. Push operation is used to enter data into stack and Pop operation is used to delete data from stack. Queue implements FIFO (First in First Out) that means the element which is inserted first will be deleted first. Insertion of elements in queue is done at the rear end and deletion at the front end.
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