HomeCoursesAdvanced Data Structures: Implementing Tries in C++ and Java
5.0

Intermediate

19h

Updated 5 months ago

Advanced Data Structures: Implementing Tries in C++ and Java

Gain insights into trie data structures, their implementation in C++ and Java, and their application in solving algorithmic problems and designing complex systems, enhancing your software engineering skills.
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Trie is an efficient tree-like data structure used to store and retrieve information. It is frequently tested in coding interviews, indicating its widespread use in solving many real-world software engineering challenges. This course covers every aspect of the trie data structure, from the intuition of building a trie to coding it in famous programming languages for solving algorithmic problems and designing real-world systems. It assumes a prior knowledge of trees and basic data structures like lists and arrays. The problems in this course are categorized into various patterns, which will help you map new solutions to known issues using tries. The problems are of varying difficulties, from easy to hard, thus giving you an iterative learning experience. By the end of this course, you’ll be able to decode relevant trie problems, code their solutions in C++ and Java, and apply trie concepts to design complex software systems.
Trie is an efficient tree-like data structure used to store and retrieve information. It is frequently tested in coding intervie...Show More

WHAT YOU'LL LEARN

An understanding of the use of tries and their implementation in C++ and Java
Ability to solve trie-based coding challenges frequently encountered in coding interviews
Familiarity with various patterns under which a trie related problem can fall
Hands-on practice working with real-world use cases of tries
Familiarity with a few case studies for a better understanding of system design concepts
An understanding of the use of tries and their implementation in C++ and Java

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Content

1.

Introduction to Tries

6 Lessons

Get familiar with trie structures, their implementation, and practical applications in real-world scenarios.

2.

Prefix Search

7 Lessons

Get started with efficient prefix searches and keyword management using trie structures.

4.

Bitwise Tries

7 Lessons

Grasp the fundamentals of bitwise tries for efficient XOR calculations and binary data optimization.

10.

Conclusion

2 Lessons

Examine advanced trie concepts, implementation, and practical applications, and explore further data structures.
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