In computational complexity theory, DSPACE or SPACE is the computational resource describing the resource of memory space for a deterministic Turing machine. It represents the total amount of memory space that a "normal" physical computer would need to solve a given computational problem with a given algorithm. It is one of the most well-studied complexity measures, because it corresponds so closely to an important real-world resource: the amount...
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DSPACE
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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...