In computational complexity theory, a computational problem H is called NP-hard if, for every problem L which can be solved in non-deterministic polynomial-time, there is a polynomial …

Jul 23, 2025 · NP-Hard is a computational complexity theory that acts as a defining property for the class of problems that are "at least as hard as the hardest problems in NP".

Dec 7, 2009 · NP-Hard: These are at least as hard as the hardest problems in NP. If we can solve these problems in polynomial time, we can solve any NP problem that can possibly exist.

A problem is NP-hard if all problems in NP are polynomial time reducible to it, even though it may not be in NP itself. If a polynomial time algorithm exists for any of these problems, all problems …

Dec 3, 2025 · A problem is NP-hard if an algorithm for solving it can be translated into one for solving any NP-problem (nondeterministic polynomial time) problem. NP-hard therefore means …

Jun 30, 2025 · A problem is NP-Hard if every NP problem can be reduced to it in polynomial time, but NP-Hard problems are not required to be in NP. NP-Hard problems may not even have a …

Mar 18, 2024 · In computer science, there exist several famous unresolved problems, and is one of the most studied ones. Until now, the answer to that problem is mainly “no”. And, this is …

What is an NP-hard Problem? An NP-hard problem is a classification in computational complexity theory describing problems that are at least as hard as the hardest problems in NP …

Jun 14, 2025 · NP-Hard problems are a class of problems that are at least as hard as the hardest problems in NP (nondeterministic polynomial time). Informally, a problem is NP-Hard if it is …

A problem is NP-hard if all problems in NP can be reduced to it in polynomial time. So if any NP-hard problem can be solved in polynomial time, then any problem in NP can also be solved in …