Maximum Product Subarray | Leet code 152 | Theory explained + Python code
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YouTubeSai Anish Malla
Maximum Product Subarray | Leet code 152 | Theory explained + Python code
This video is a solution to Leet code 152, Maximum Product Subarray. I explain the question and the best way to solve it and then solve it using Python. Comment below if you have a better solution to this problem! Let me know if you have any feedback and don't forget to subscribe for more videos! Code: https://leetcode.com/problems/maximum ...
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Maximum Subarray Problem
SOLVED: Convert the pseudocode into a C functionThe Maximum Subarray ProblemThe maximum subarray problem involves finding a contiguous part of an array of numbers that adds up to the greatest possible sum.Maximum subarray problem input: a non-empty vector V of n integersOutput: indices b, e such that 0 ≤ b sum(v[b:e]): b = i e = j return (b, e)The two nested loops together iterate O(n^2) times, and the sum operation takes O(n) time, so the total time comp
SOLVED: Convert the pseudocode into a C functionThe Maximum Subarray ProblemThe maximum subarray problem involves finding a contiguous part of an array of numbers that adds up to the greatest possible sum.Maximum subarray problem input: a non-empty vector V of n integersOutput: indices b, e such that 0 ≤ b sum(v[b:e]): b = i e = j return (b, e)The two nested loops together iterate O(n^2) times, and the sum operation takes O(n) time, so the total time comp
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