Subarray Product Less Than K | Brute Force to Optimised (Sliding Window) | O(N) Approach Explained

Автор: RisingBrain

Загружено: 2026-02-26

Просмотров: 1390

Описание: In this video, we solve Subarray Product Less Than K (Leetcode 713) step by step.

I have explained:

Brute force approach

Why brute force is O(N²)

Optimized sliding window approach

How we reduce time complexity to O(N)

Proper intuition behind expanding and shrinking the window

This problem is very important to understand the sliding window pattern for interviews. If you are preparing for coding interviews or placements, this will help you build strong fundamentals in array problems.

Make sure to watch till the end for the complete dry run and logic explanation.

Master the logic, not just the code.

Rising Brain (DSA Sheet) - https://www.risingbrain.org/sheet

Connect with me here:

Linkedin - / anjalikumari22
Instagram - / rbanjali.codes
Twitter - https://x.com/anjali1kumari?s=21

Не удается загрузить Youtube-плеер. Проверьте блокировку Youtube в вашей сети.
Повторяем попытку...

Subarray Product Less Than K | Brute Force to Optimised (Sliding Window) | O(N) Approach Explained

Доступные форматы для скачивания:

Скачать видео

Информация по загрузке:

Скачать аудио

Похожие видео

Minimum Size Subarray Sum | Brute Force to Optimal O(n) Sliding Window | Pattern Wise DSA

Minimum Size Subarray Sum | Brute Force to Optimal O(n) Sliding Window | Pattern Wise DSA

Max Consecutive Ones | From Brute Force to Optimized Approach Using Sliding Window

Max Consecutive Ones | From Brute Force to Optimized Approach Using Sliding Window

Произведение подмассива меньше K — Leetcode 713 — Python

Произведение подмассива меньше K — Leetcode 713 — Python

Max Consecutive Ones III | Brute Force to Optimal (O(n)) | Sliding Window Explained

Max Consecutive Ones III | Brute Force to Optimal (O(n)) | Sliding Window Explained

Minimum Size Subarray Sum | Sliding Window Explained | LeetCode 209 | Optimal O(N) Solution

Minimum Size Subarray Sum | Sliding Window Explained | LeetCode 209 | Optimal O(N) Solution

СЛИВ сложного параметра на ЕГЭ 2026! Посмотри и получи БАЛЛЫ!

СЛИВ сложного параметра на ЕГЭ 2026! Посмотри и получи БАЛЛЫ!

Fruits Into Baskets | From Brute Force to Optimized Sliding Window | C++, Java, Python

Fruits Into Baskets | From Brute Force to Optimized Sliding Window | C++, Java, Python

Model Context Protocol (MCP) Explained for Beginners: AI Flight Booking Demo!

Model Context Protocol (MCP) Explained for Beginners: AI Flight Booking Demo!

Sort Colors | Brute Force to Dutch National Flag Algorithm (Optimal O(N))

Sort Colors | Brute Force to Dutch National Flag Algorithm (Optimal O(N))

Trapping Rainwater Problem – Brute Force and Optimized Two-Pointer Approach Explained

Trapping Rainwater Problem – Brute Force and Optimized Two-Pointer Approach Explained

Move Zeros | Two Pointer Pattern Explained (Brute → Optimal)

Move Zeros | Two Pointer Pattern Explained (Brute → Optimal)

Я построил ИИ-систему из Google-инструментов за 20 минут

Я построил ИИ-систему из Google-инструментов за 20 минут

Matrix Block Sum – 2D Prefix Sum | Running Sum of 2D Array | C++, Java, Python

Matrix Block Sum – 2D Prefix Sum | Running Sum of 2D Array | C++, Java, Python

Москва без связи. Статус S09E27

Москва без связи. Статус S09E27

Data Structure and Algorithm Patterns for LeetCode Interviews – Tutorial

Data Structure and Algorithm Patterns for LeetCode Interviews – Tutorial

3 Sum Problem Explained | Brute Force to Optimal using Two Pointers

3 Sum Problem Explained | Brute Force to Optimal using Two Pointers

Программирование будет трудным, пока вы этому не научитесь

Программирование будет трудным, пока вы этому не научитесь

Learn MATLAB in ONE Video!

Learn MATLAB in ONE Video!

LeetCode Was Hard Until I Learned THESE 8 Patterns (With Templates!)

LeetCode Was Hard Until I Learned THESE 8 Patterns (With Templates!)

5 AI Engineer Projects to Build in 2026 | Ex-Google, Microsoft

5 AI Engineer Projects to Build in 2026 | Ex-Google, Microsoft