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translation: Update EN translation for Introduction Chapter (#1739)

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* doc: update en translation of algorithm_are_everywhere

* doc: update en translation of what_is_dsa

* doc: update en translation of summary

* feat: en translation for Q&A

* doc: update en translation to make it more concise

* Update algorithms_are_everywhere.md

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Co-authored-by: Yudong Jin <krahets@163.com>
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@ -19,14 +19,14 @@ A <u>data structure</u> is a way of organizing and storing data in a computer, w
**Designing data structures is a balancing act, often requiring trade-offs**. If you want to improve in one aspect, you often need to compromise in another. Here are two examples:
- Compared to arrays, linked lists offer more convenience in data addition and deletion but sacrifice data access speed.
- Graphs, compared to linked lists, provide richer logical information but require more memory space.
- Compared with linked lists, graphs provide richer logical information but require more memory space.
## Relationship between data structures and algorithms
As shown in the figure below, data structures and algorithms are highly related and closely integrated, specifically in the following three aspects:
- Data structures are the foundation of algorithms. They provide structured data storage and methods for manipulating data for algorithms.
- Algorithms are the stage where data structures come into play. The data structure alone only stores data information; it is through the application of algorithms that specific problems can be solved.
- Algorithms inject vitality into data structures. The data structure alone only stores data information; it is through the application of algorithms that specific problems can be solved.
- Algorithms can often be implemented based on different data structures, but their execution efficiency can vary greatly. Choosing the right data structure is key.
![Relationship between data structures and algorithms](what_is_dsa.assets/relationship_between_data_structure_and_algorithm.png)
@ -50,4 +50,4 @@ It's worth noting that data structures and algorithms are independent of program
!!! tip "Conventional Abbreviation"
In real-life discussions, we often refer to "Data Structures and Algorithms" simply as "Algorithms". For example, the well-known LeetCode algorithm problems actually test both data structure and algorithm knowledge.
In real-life discussions, we often refer to "Data Structures and Algorithms" simply as "Algorithms". For example, the well-known LeetCode algorithm questions actually test knowledge of both data structures and algorithms.