Solve the following three algorithmic tasks: 1) Unique triplet sum: Given an integer array nums and an integer target (default 0), return all unique triplets [a, b, c] such that a + b + c = target with no duplicate triplets. Explain an O(n^ 2) approach using sorting and two pointers, and detail how you handle duplicates and edge cases. 2) K most common values: Given an integer array nums and an integer k, return the k values with highest frequency. If two values share the same frequency, order them by value descending in the output. Implement an O(n log k) solution using a min-heap of size k (e.g., Python’s heapq) and explain how you produce final descending order. 3) Equalize root-to-leaf path sums with minimal increments: You are given a complete binary tree represented as an array costs where costs[i] is the nonnegative cost at node i. In one operation you may increment any node’s cost by 1. Compute the minimum total increments required so that every root-to-leaf path has the same sum. Provide an algorithm and analyze its time and space complexity.

This question evaluates algorithmic problem-solving skills across array, heap, and tree data structures, testing competencies in duplicate handling, frequency aggregation, and balancing root-to-leaf path sums within the Coding & Algorithms domain.

How do I approach Coding & Algorithms interview questions?

Coding & Algorithms questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master coding & algorithms interviews.

What difficulty level is this interview question?

This is a Medium difficulty Coding & Algorithms question, commonly asked during Technical Screen rounds at TikTok.

What role is this question designed for?

This question is commonly asked for Software Engineer candidates at TikTok during technical interviews.

Solve array and tree algorithm challenges | TikTok Interview Question

Solve the following three algorithmic tasks:

Unique triplet sum: Given an integer array nums and an integer target (default 0), return all unique triplets [a, b, c] such that a + b + c = target with no duplicate triplets. Explain an O(n^
approach using sorting and two pointers, and detail how you handle duplicates and edge cases.
K most common values: Given an integer array nums and an integer k, return the k values with highest frequency. If two values share the same frequency, order them by value descending in the output. Implement an O(n log k) solution using a min-heap of size k (e.g., Python’s heapq) and explain how you produce final descending order.
Equalize root-to-leaf path sums with minimal increments: You are given a complete binary tree represented as an array costs where costs[i] is the nonnegative cost at node i. In one operation you may increment any node’s cost by 1. Compute the minimum total increments required so that every root-to-leaf path has the same sum. Provide an algorithm and analyze its time and space complexity.

Solve the following three algorithmic tasks:

Unique triplet sum: Given an integer array nums and an integer target (default 0), return all unique triplets [a, b, c] such that a + b + c = target with no duplicate triplets. Explain an O(n^
approach using sorting and two pointers, and detail how you handle duplicates and edge cases.
K most common values: Given an integer array nums and an integer k, return the k values with highest frequency. If two values share the same frequency, order them by value descending in the output. Implement an O(n log k) solution using a min-heap of size k (e.g., Python’s heapq) and explain how you produce final descending order.
Equalize root-to-leaf path sums with minimal increments: You are given a complete binary tree represented as an array costs where costs[i] is the nonnegative cost at node i. In one operation you may increment any node’s cost by 1. Compute the minimum total increments required so that every root-to-leaf path has the same sum. Provide an algorithm and analyze its time and space complexity.

Solve array and tree algorithm challenges

Quick Overview

Comments (0)

Solve array and tree algorithm challenges

Quick Overview

Comments (0)