线性和非线性数据结构的区别

线性数据结构：
数据元素按顺序或线性排列的数据结构，其中元素连接到其上一个和下一个相邻的元素，称为线性数据结构。在线性数据结构中，涉及单级。因此，我们只能在单次运行中遍历所有元素。线性数据结构易于实现，因为计算机内存是以线性方式排列的。它的例子有数组、堆栈、队列、链表等。

非线性数据结构：
数据元素不是按顺序或线性排列的数据结构称为非线性数据结构。在非线性数据结构中，不涉及单层。因此，我们不能仅在单次运行中遍历所有元素。与线性数据结构相比，非线性数据结构不易实现。与线性数据结构相比，它可以有效地利用计算机内存。它的例子是树和图。

线性和非线性数据结构的区别：

S.NO	Linear Data Structure	Non-linear Data Structure
1.	In a linear data structure, data elements are arranged in a linear order where each and every elements are attached to its previous and next adjacent.	In a non-linear data structure, data elements are attached in hierarchically manner.
2.	In linear data structure, single level is involved.	Whereas in non-linear data structure, multiple levels are involved.
3.	Its implementation is easy in comparison to non-linear data structure.	While its implementation is complex in comparison to linear data structure.
4.	In linear data structure, data elements can be traversed in a single run only.	While in non-linear data structure, data elements can’t be traversed in a single run only.
5.	In a linear data structure, memory is not utilized in an efficient way.	While in a non-linear data structure, memory is utilized in an efficient way.
6.	Its examples are: array, stack, queue, linked list, etc.	While its examples are: trees and graphs.
7.	Applications of linear data structures are mainly in application software development.	Applications of non-linear data structures are in Artificial Intelligence and image processing.

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