Day 23: Maximum Product Subarray | Dynamic Programming | Handling Negatives and Zeros
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Day 23: Maximum Product Subarray | Dynamic Programming | Handling Negatives and Zeros
In this challenge, we solve one of the most popular array and dynamic programming interview problems — Maximum Product Subarray. Unlike typical sum problems, the product becomes tricky because negative numbers and zeros can flip results drastically. To overcome this, we maintain both the current maximum and current minimum product at each ...
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