Unique Binary Search Trees - LeetCode 96 - Python, JavaScript, Java, C++

Unique Binary Search Trees LeetCode 96 with Python, JavaScript, Java and C++.

Unique Binary Search Trees is a classic computer science problem, often discussed in coding interviews and competitive programming. It's featured as LeetCode 96. The challenge is to determine how many structurally unique Binary Search Trees (BSTs) can be formed using n distinct values.

The problem builds on the properties of BSTs, where the left subtree contains smaller values, and the right subtree contains larger values than the root. To solve LeetCode 96, we use dynamic programming with a key insight: each value can serve as the root, and the number of unique BSTs depends on the Cartesian product of trees formed by left and right subtrees.

The solution involves Catalan numbers, with the formula dp[n] = Σ dp[i] * dp[n-i-1]. Understanding Unique Binary Search Trees sharpens your grasp of recursion and dynamic programming fundamentals, making it a must-learn problem for software developers.

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https://leetcode.com/problems/unique-binary-search-trees/solutions/6066004/counting-nodes-on-the-left-and-right/
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■ Timeline
0:04 Explain key points
11:02 Coding
11:14 Time Complexity and Space Complexity

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■ Problem Link
https://leetcode.com/problems/unique-binary-search-trees/description/

■ Codes in the video
- Python, JavaScript, Java and C++ are available from here.
https://leetcode.com/problems/unique-binary-search-trees/solutions/6066004/counting-nodes-on-the-left-and-right/

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