Data Structures and Algorithms (III)

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Data Structures and Algorithms (III)

Coursera · Intermediate ·⚡ Algorithms & Data Structures ·5mo ago

Key Takeaways

Learning hashing and balanced binary search trees for data structures and algorithms

Original Description

By learning this course, you will get a comprehensive grasp of hashing and typical balanced binary search trees, as well as their applications. By the end of this course, you will be able to understand the principle of Hashing, design and implement Hashtables for real problems, understand and implement typical balanced binary search trees such as Splay tree, Red-Black tree as well as B-tree, use BBST to solve various problems such as range query. 通过学习本课程,你将全面了解散列和典型的平衡二叉搜索树技术及其应用。 在本课程结束时,你将能够了解散列的原理,设计和实现用于实际问题的哈希表,了解并实现典型的平衡二叉搜索树,例如Splay树,红黑树以及B树,并使用BBST解决各种问题,例如范围查询。
AI explanation not available for this lesson yet
This lesson is still being prepared for the AI tutor. In the meantime, explore lessons that are ready.
Browse explainer-ready lessons →

Related Reads

Up next
Webhooks & Callbacks For Beginners in Python
NeuralNine
Watch →