LeetCode Topic

Binary Search Tree LeetCode problems

Open the Binary Search Tree pattern family, compare representative problems, and move into solver-first interview prep without losing the topic context.

29 indexed problemsBinary-tree traversal and state tracking
Easy
9
Medium
18
Hard
2
Representative problems in one family
Pattern summary and difficulty mix
Direct path into the GhostInterview solver
Binary Search Tree problem set

Representative Binary Search Tree problems

#95 Unique Binary Search Trees II

Generate all structurally unique BSTs with values 1 to n using backtracking and recursive tree construction techniques.

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#96 Unique Binary Search Trees

Given n nodes, calculate the number of unique binary search trees (BSTs) that can be formed with values from 1 to n.

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#98 Validate Binary Search Tree

Validate Binary Search Tree problem checks if a binary tree satisfies BST properties using tree traversal and state tracking.

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#99 Recover Binary Search Tree

Recover a BST where two nodes are swapped by mistake using in-order traversal and careful state tracking to restore correct structure efficiently.

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#108 Convert Sorted Array to Binary Search Tree

Pick the middle element as root at each step so the sorted array becomes a height-balanced BST with valid ordering.

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#109 Convert Sorted List to Binary Search Tree

Convert a sorted singly linked list into a height-balanced BST using pointer manipulation and divide-and-conquer recursion efficiently in interviews.

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#173 Binary Search Tree Iterator

Implement an iterator for in-order traversal of a binary search tree (BST), maintaining traversal state with stack-based operations.

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#230 Kth Smallest Element in a BST

Find the kth smallest element in a BST by leveraging in-order traversal to efficiently track node order and count.

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#235 Lowest Common Ancestor of a Binary Search Tree

Find the lowest common ancestor (LCA) of two nodes in a binary search tree, using binary-tree traversal and state tracking.

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Binary Search Tree interview questions usually collapse into a small set of repeatable moves. This page groups those GhostInterview problem pages together so you can stay inside one pattern family, compare representative questions, and practice explanations that transfer across multiple prompts. If you are trying to sharpen one interview weakness instead of browsing the entire library, start here.

Why Binary Search Tree Matters In Coding Interviews

Interviewers rarely care about the label alone. They care about whether you can recognize when the Binary Search Tree pattern applies, explain why it applies, and avoid the failure modes that usually show up under time pressure. That is why this page focuses on the family of problems rather than a single isolated example.

Pattern families that show up here

  • Binary-tree traversal and state tracking
  • Linked-list pointer manipulation

Use this page to narrow the session

Start from this topic hub, choose one or two representative problems, and then open the detailed problem pages only after you know which version of the pattern you want to reinforce.

How To Practice This Topic

The best workflow is to keep the prep block narrow. Pick one easy or medium problem to confirm the base pattern, then one medium or hard problem to test whether the explanation still holds when the constraints tighten. Once the logic is stable, move into GhostInterview to rehearse the live explanation flow.

Focus on transfer, not title count

Solving more Binary Search Tree titles is less useful than understanding how the same move changes across examples. Try to describe what stays the same and what changes from one problem to the next.

Use the problem page when you want the exact breakdown

This topic hub is the discovery layer. The single-problem pages are where you get the answer-first summary, examples, constraints, approach, complexity, pitfalls, and solver CTA.

How GhostInterview Fits

GhostInterview works best after you know which pattern family you are inside. Use this page to choose the right Binary Search Tree problem, then use the solver to get the answer path, complexity framing, and follow-up support without switching into a generic study flow.

FAQ

What does the Binary Search Tree topic usually test in interviews?

Binary Search Tree questions usually test whether you can spot the underlying pattern quickly, explain the trade-offs, and move from intuition to implementation without losing clarity.

How should I use this Binary Search Tree topic page?

Use it as a pattern hub. Start with the representative problems on this page, compare the common approach, and then open the exact problem page when you want the full breakdown.

How many GhostInterview problem pages are in the Binary Search Tree group?

This topic page currently groups 29 indexed GhostInterview problem pages under the Binary Search Tree family.

Should I practice this topic before harder patterns?

That depends on your current gaps. If Binary Search Tree is already a weak spot in interviews, it is usually better to stabilize it first before moving into more advanced or less frequent patterns.

Where does GhostInterview fit once I pick a Binary Search Tree problem?

The topic page narrows the pattern family. The problem page gives the exact breakdown. GhostInterview is the solver layer when you need direct help with execution, complexity, and follow-up handling.

Need direct help once you choose a Binary Search Tree problem?

Use GhostInterview as the solver layer after you select the exact prompt. Capture the question, get the answer path and complexity framing, and keep the workflow inside the same topic family.