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.

Intermediate

66 Lessons

19h

Certificate of Completion

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

51 Challenges

This course includes

51 Challenges

Course Overview

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 ...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

What You'll Learn

An understanding of the use of tries and their implementation in C++ and Java

Course Content

Introduction to Tries

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

Course Overview

Basics of Tries Implementing a Trie

Tries: Supporting a Variety of Data Real-Life Applications of Tries Quiz on Tries

Prefix Search

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

Introduction to Prefix Searching Using Tries

Keyword Search Prefix Count

Prefix Replacement Longest Prefix Problem Challenge: Prefix Map Solution Review: Prefix Map

Suffix Search

Break apart suffix searching with tries for efficient counting, searching, and optimization.

Introduction to Suffix Searching Using Tries Suffix Count Prefix and Suffix Search Optimized Prefix and Suffix Search Suffix Stream Problem Challenge: Suffix Score Solution Review: Suffix Score

Bitwise Tries

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

Introduction to Bitwise Tries Maximum XOR Maximum XOR with Limit Maximum Subarray XOR Range XOR Pairs Problem Challenge: Minimum XOR Solution Review: Minimum XOR

Pattern Matching

Dig deeper into pattern matching using tries for optimized and efficient string searches.

Introduction to Pattern Matching Using Tries Pattern Matching Smart Matching Shortest Encoding Abbreviation Generator Problem Challenge: Insertion Count Solution Review: Insertion Count

File Systems

7 Lessons

Follow the process of enhancing file systems with trie structures for efficient management and retrieval.

Trie Traversal

7 Lessons

Master the steps to efficiently traverse, search, and manipulate tries for various applications.

Search Engine

9 Lessons

Step through implementing search engines with tries, including auto-complete and spelling correction.

Miscellaneous

7 Lessons

Unpack the core of solving diverse problems using trie data structures for optimal efficiency.

10.

Conclusion

2 Lessons

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

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

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Emma Bostian 🐞

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Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

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Kenan Eyvazov

DevOps Engineer

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

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