数据结构 线性 非线性_线性和非线性数据结构之间的区别

数据结构 线性 非线性

Here you will learn about difference between linear and non linear data structure.

在这里，您将了解线性和非线性数据结构之间的区别。

Data structures are basically a way of storing and logically implementing the data elements. These elements need to be stored in a way which makes them orderly and organized. Apart from the primitive data structures which include the int, char, float, double etc., the non primitive data structures are also important and definitely play a crucial role for storing and retrieving the data structures. The non primitive data structures can broadly be classified into two types:

数据结构基本上是一种存储和逻辑上实现数据元素的方式。 这些元素的存储方式必须使它们井然有序。 除了包括int，char，float，double等原始数据结构之外，非原始数据结构也很重要，并且在存储和检索数据结构中绝对起着至关重要的作用。 非原始数据结构可以大致分为两种类型：

• Linear Data Structure
  线性数据结构
• Non-Linear Data Structure
  非线性数据结构

Although, both are non-primitive data types, yet they hold a majority of differences between them, these differences can better be understood by reading the following points.

尽管这两种都是非原始数据类型，但是它们之间具有大多数差异，通过阅读以下几点可以更好地理解这些差异。

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线性和非线性数据结构之间的区别 (Difference between Linear and Non Linear Data Structure)

Linear Data Structure	Non Linear Data Structure
The elements are inserted adjacent to each other and can also be retrieved similarly.	Elements which are stored in a non linear data structure have certain relationship among them while being stored or retrieved. There is a certain definite pattern which always govern the addition of a new element to the structure
Data elements are easy to be retrieved as they can be just accessed in one run.	Data elements are not easy to be retrieved or stored as they follow a strict relationship among the various elements.
The Linear Data Structures are comparatively simpler and provide a certain ease of working with.	The Non Linear Data Structures are complex data structures which can prove to be tricky to an extent.
These do not provide us with efficient memory utilization.	Efficient memory utilization is experienced while working with the non linear data structures.
Examples: Linked List, Stack, Queue etc.	Examples: Trees, graphs etc.

线性数据结构	非线性数据结构
这些元素彼此相邻插入，也可以类似地进行检索。	存储在非线性数据结构中的元素在存储或检索时具有一定的关系。 存在一定的确定模式，该模式始终控制向结构中添加新元素
数据元素易于检索，因为只需一次运行即可访问它们。	数据元素不易检索或存储，因为它们遵循各种元素之间的严格关系。
线性数据结构相对比较简单，使用起来也很容易。	非线性数据结构是复杂的数据结构，在某种程度上可以证明是棘手的。
这些不能为我们提供有效的内存利用率。	在处理非线性数据结构时，可以有效地利用内存。
示例：链表，堆栈，队列等。	示例：树，图等

翻译自: https://www.thecrazyprogrammer.com/2018/08/difference-between-linear-and-non-linear-data-structure.html

数据结构 线性 非线性