Скачать или смотреть 739. Daily Temperatures | LeetCode | Python

Links:
Problem: https://leetcode.com/problems/daily-t...
Linkedin:   / ivan-shelonik  

Description:
In this video, we will dive deep into the "Daily Temperatures" problem from LeetCode, a medium-level problem that challenges your understanding of data structures and algorithms. We will provide a detailed explanation of the problem and walk through a Python solution step by step.

Problem Statement:
Given a list of daily temperatures, where temperatures[i] is the temperature in Fahrenheit for the ith day, your task is to find the number of days you would have to wait until a warmer temperature. If there is no future day for which this is possible, put 0 instead.

Solution Overview:
We'll explore two different approaches to solve this problem:

Brute Force Approach:
Time Complexity: O(N^2)
Space Complexity: O(1)

This approach involves nested loops to compare each day's temperature with future days until a warmer temperature is found.

Monotonically Decreasing Stack Approach:
Time Complexity: O(N) - Single walkthrough
Space Complexity: O(N) - Assuming the result does not take space

This more efficient approach utilizes a monotonically decreasing stack to track the days we need to wait for a warmer temperature. We'll walk through this approach step by step, demonstrating how the stack helps us find the solution.

We'll provide a clear visualization of the algorithm's operation and show how it optimizes the solution by avoiding unnecessary comparisons.