Data Structures with Generic Types in C++

Data Structures with Generic Types in C++

Gain insights into array and linked list-based implementations, delve into advanced structures like skiplists and trees, and explore template-based collections for efficient data optimization and retrieval.

Intermediate

96 Lessons

29h

Certificate of Completion

Gain insights into array and linked list-based implementations, delve into advanced structures like skiplists and trees, and explore template-based collections for efficient data optimization and retrieval.

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Explanations

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This course includes

45 Playgrounds
14 Quizzes

This course includes

45 Playgrounds
14 Quizzes

Course Overview

Data structures and algorithms are essential in computer science since they play a crucial role in efficient information retrieval and processing, dealing with files, storing contacts on phones, social networks and web searches. In this course, you’ll learn about the array-based implementation of various linear data structures, stack, and queues. You’ll also learn about linked list-based implementation. Next, you’ll explore advanced data structures like skiplists and hashing. You’ll learn how to implement ...Show More

What You'll Learn

A thorough understanding of data structures and algorithms

Working knowledge of array-based, linked list-based, and blended implementations

Hands-on experience of C++ interfaces, classes, and templates

Familiarity with complexity analysis of data structures and related algorithms

What You'll Learn

A thorough understanding of data structures and algorithms

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Course Content

1.

Overview

Step through key data structures in C++, understanding their interfaces and efficiency.
5.

Hash Tables

Dig deeper into hash table implementations, efficient data retrieval methods, and collision resolution.
6.

Binary Trees

5 Lessons

Investigate binary trees, their structure, traversals, binary search trees, and design considerations.
8.

Scapegoat Trees

6 Lessons

Step through Scapegoat Trees' balance maintenance, efficiency analysis, and optimization techniques.
9.

Red-Black Trees

5 Lessons

Discover the logic behind red-black trees, their operations, and their balanced structure.
10.

Heaps

6 Lessons

Break apart Binary Heaps and Meldable Heaps, explore heap variations, and implement `remove(i)`.
13.

Data Structures for Integers

4 Lessons

Follow the process of efficient set implementations for integers with BinaryTrie, XFastTrie, and YFastTrie.
14.

External Memory Searching

6 Lessons

Practice using B-trees for efficient external memory operations and managing dynamic datasets.
15.

Wrap Up

1 Lesson

Step through data structures, algorithms, trees, sorting, graphs, and feedback in C++.

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