K Closest Points to Origin — The Heap Insight
Автор: Clarity Before Code
Загружено: 2026-01-23
Просмотров: 2
Описание:
In this video, we solve the K Closest Points to Origin problem and focus on the intuition behind using a Heap.
Instead of jumping to code, we understand:
Why a heap is the right data structure
Why we keep the heap size limited to k
How distance comparison works without square roots
How to explain this clearly in interviews
This video follows the Clarity Before Code approach — understanding logic before coding.
00:00 Problem Overview
01:05 Brute Force Approach
02:20 Key Insight
07:30 Heap-Based Solution
11:15 Time & Space Complexity
🧠 Topics covered:
Distance calculation
Min Heap vs Max Heap
Dry run
Time & Space Complexity
Language: C++
Повторяем попытку...
Доступные форматы для скачивания:
Скачать видео
-
Информация по загрузке:
