Difference Between Linear And Non-Linear Data Structures
The major difference between the linear and non-linear data structures is that linear data structures are ordered whereas non-linear state structures are not ordered and are distributed in a random manner. Let us see the complete list of the differences between the linear and non-linear data structures in the table provided below:
Key Differences Between Linear And Non-Linear Data Structures
|Linear Data Structures||Non-Linear Data Structures|
|Elements are ordered in a linear and sequential manner.||Elements are ordered in a hierarchy.|
|Only a single level is present.||Multiple level data structures are present.|
|Implementation is relatively easier.||Implementation is relatively complicated.|
|Traversed in a single run||Take multiple runs to traverse the data.|
|Memory utilization is not efficient compared to non-linear data structures||Memory utilization is efficient.|
|Examples: array, queue, linked list, etc.||Example: Trees, graphs, etc.|
What are Linear Data Structures?
Linear data structures are the structures where data elements are ordered in a sequential or linear way. In the linear data structure, each element is attached to the elements before and after them. The involvement of the structures is at a single level only. They are easy to implement.
The linear data structures can be of various types. A few types of the liner data structures are:
- Hash Tables
- Linked list
What are Non-Linear Data Structures?
Non-linear data structures are structures where data is not ordered in a sequential or linear way. There exist multiple levels of arrangement. It requires multiple run downs to traverse the elements. The elements may or may not be attached to the elements before and after them. They are known to be more efficient than linear data structures.
The non-linear data structures have various types. A few of the Non-linear data structures are:
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