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 ·3mo 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。
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
The Minecraft anvil is a tree-cost optimization problem in disguise
Optimize tree costs in Minecraft using graph theory and algorithms, just like the anvil repair system
Dev.to · Mark
📰
KMP Algorithm (Knuth-Morris-Pratt): The Smart Way to Perform String Matching in O(N)
Learn the KMP algorithm for efficient string matching in O(N) time complexity and improve your coding skills
Dev.to · Jaspreet singh
📰
Every Backtracking Problem Is the Same Three Lines. I Just Couldn't See the Tree.
Master backtracking problems with a simple three-line approach to improve problem-solving skills in coding interviews and challenges
Dev.to · Alex Mateo
📰
DSA From Zero to Hero #3: Sliding Window (Fixed Size) Explained With a Java Example
Learn to solve subarray problems efficiently using the sliding window technique, a crucial skill for software engineers and data scientists
Medium · Programming
Up next
Stump Grinder Carbide Wheel Grinds Hardwood To Chips
Innoforge Studio
Watch →