Describing any problem in the complexity class P to which there exists a polynomial time mapping from any other problem in P.
The set of such problems.
In complexity theory, the notion of P-complete decision problems is useful in the analysis of both: ⁕which problems are difficult to parallelize effectively, and; ⁕which problems are difficult to solve in limited space. Formally, a decision problem is P-complete if it is in P and that every problem in P can be reduced to it by using an appropriate reduction. The specific type of reduction used varies and may affect the exact set of problems. If we use NC reductions, that is, reductions which can operate in polylogarithmic time on a parallel computer with a polynomial number of processors, then all P-complete problems lie outside NC and so cannot be effectively parallelized, under the unproven assumption that NC ≠ P. If we use the weaker log-space reduction, this remains true, but additionally we learn that all P-complete problems lie outside L under the weaker unproven assumption that L ≠ P. In this latter case the set P-complete may be smaller.
The numerical value of p-complete in Chaldean Numerology is: 2
The numerical value of p-complete in Pythagorean Numerology is: 6
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