Explain following Data Structures with examples for each: i) Linear & Non-linear ii) Persistent & Ephemeral.
Understand the Problem
The question is asking for explanations of specific data structures, namely linear and non-linear data structures, as well as persistent and ephemeral data structures. It requests examples for each type to clarify the concepts.
Answer
i) Linear: Arrays, Stacks; Non-linear: Trees, Graphs. ii) Persistent: Retains history (e.g., persistent lists); Ephemeral: Updates in place (e.g., arrays).
i) Linear Data Structures: These data structures have data elements arranged sequentially or linearly. Examples include arrays, stacks, queues, and linked lists. ii) Non-linear Data Structures: In these structures, data elements are arranged in a non-sequential manner. Examples include trees and graphs. iii) Persistent Data Structures: These data structures retain their previous versions when updated and allow for access to these older versions. Examples include persistent linked lists and persistent trees. iv) Ephemeral Data Structures: These structures do not save previous versions when modified; instead, they update in place. Examples include standard arrays and stacks.
Answer for screen readers
i) Linear Data Structures: These data structures have data elements arranged sequentially or linearly. Examples include arrays, stacks, queues, and linked lists. ii) Non-linear Data Structures: In these structures, data elements are arranged in a non-sequential manner. Examples include trees and graphs. iii) Persistent Data Structures: These data structures retain their previous versions when updated and allow for access to these older versions. Examples include persistent linked lists and persistent trees. iv) Ephemeral Data Structures: These structures do not save previous versions when modified; instead, they update in place. Examples include standard arrays and stacks.
More Information
Linear data structures like arrays and linked lists are basic and used widely. Non-linear structures like trees and graphs help represent hierarchical or networked data. Persistent structures provide advantages in environments needing multi-version concurrency, while ephemeral structures are simpler and faster for single-version operations.
Tips
A common mistake is confusing non-linear structures with linear ones based on data representation rather than access patterns. Ensure to distinguish persistent and ephemeral structures by their version management.
Sources
- Difference between Linear and Non-linear Data Structures - geeksforgeeks.org
- Persistent data structure - Wikipedia - en.wikipedia.org
- Data Structure and Types - Programiz - programiz.com
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