There are two techniques for representing such linear structure within memory. Non-linear Data Structure Linear Data StructureĪ data structure is said to be linear if its elements combine to form any specific order.Categories of Data Structureĭata structures can be subdivided into two major types: Second, the formation should be so simple that one can efficiently process the data whenever necessary.First, it must be loaded enough into the structure to reflect the actual relationship of the data with a real-world object.The variety of a specific data model depends on the two factors: The data can be managed in many different ways, such as a logical or mathematical model for a particular organization of data is called a data structure. In the context of computers, the data structure is a specific way of storing and organizing data in the computer's memory so that these data can be easily retrieved and efficiently used when needed later. The example mentioned above, such as ID, Age, Gender, First, Middle, Last, Street, Area, etc., are elementary data items, whereas the Name and the Address are group data items. But an ID assigned to a student will usually be considered a single item. Let's take an example where a student's name can be broken down into three sub-items: first, middle, and last. The data items are then classified into sub-items, which is the group of items that are not called the simple primary form of the item.
Data is simply a collection of facts and figures, or you can say that data is a set of values or values in a particular format that refers to a single set of item values. In the modern world, data and its information have significance, and there are different implementations taking place to store it in different ways. Basic Concepts of Data Structures Data Structure Introduction Data Structures Environment Setup Fundamental Elements of Data Structure Arrays, Iteration, Invariants Data Structures and Arrays Lists, Recursion, Stacks, Queues Linked List Polynomials Using Linked List and Arrays Concepts of Stack in Data Structure Concepts of Queue in Data Structure Algorithms Principles of Program Analysis Big-O Notation and Algorithm Analysis Searching Techniques Sorting Techniques Bubble Sort Algorithm Selection Sort Algorithm Merge Sort Algorithm Quick Sort Algorithm Insertion Sort Algorithm Greedy Algorithm Trees Binary Trees AVL Trees Forests and Orchards
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