Partially Verified65% confidenceFactExact time
The P vs NP problem asks whether a problem whose solution can be verified in polynomial time can also be solved in polynomial time
3
Sources
65%
Confidence
Long-term
Relevance
8/2/2026
First Seen
Sources
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Related Claims
UnverifiedNP-completeness theory is built on reduction: if problem A can be transformed into problem B in polynomial time, then an algorithm that solves B also solves A.73% similarUnverifiedThe P vs NP problem is a central problem in computational complexity theory.66% similarUnverifiedStandard Gaussian process inference requires computing the inverse of the kernel matrix or solving a linear system, with a time complexity of O(n^3), where n is the number of observation points.63% similarUnverifiedAll previous algorithms for this problem require superpolynomial time in k or 1/ε, or rely on strong well-conditioned assumptions.62% similarUnverifiedEach iteration of PDHG only requires computing the product of the constraint matrix and the current solution vector along with a simple projection step, and its computational complexity scales approximately linearly with problem size.61% similar
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