In complexity theory, a decision problem is PSPACE-complete if it is in the complexity class PSPACE, and every problem in PSPACE can be reduced to it in polynomial time (see complete (complexity)). The problems that are PSPACE-complete can be thought of as the hardest problems in PSPACE. These problems are widely suspected to be outside of the more famous complexity classes P and NP, but that is not known. It is known that they lie outside of NC....
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PSPACE-complete
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PSPACE
In computational complexity theory, PSPACE is the set of all decision problems which can be solved by a Turing machine using a polynomial amount of space. If we denote by SPACE(t(n)), the set of all problems that can be solved by Turing machines using at most t(n) space for some function t of the... -
NP-complete
In computational complexity theory, the complexity class NP-complete (abbreviated NP-C or NPC), is a class of problems having two properties: Although any given solution to such a problem can be verified quickly, there is no known efficient way to locate a solution in the first place; indeed, the...