NP-Hard Explained: Understanding the Most Complex Problems in Computer Science 🔍

NP-Hard problems are some of the most complex challenges in computer science. They may not have fast solutions, and solving them exactly could take an enormous amount of time as the input size grows. But they’re critical to understanding the limits of computation.

In this video, we break down:

What NP-Hard means

How it differs from NP and P problems

Why it’s important in theoretical computer science

If you're exploring algorithms, complexity theory, or preparing for coding interviews, this foundational topic is a must-understand.

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