In computational complexity theory, P and NP are two classes of problems. P is the class of decision problems that a deterministic Turing machine can solve in polynomial time. In useful terms… ...

Non-Deterministic Polynomial-Time (NP) Problems: In contrast, NP problems are significantly more challenging.

The problems in question are commonly described as non-deterministic polynomial-time (NP) class. How much advantage could vary to a vast degree.

As an application, we resolve a question of Huang, Shao and Ye, and Franzikinakis and Host regarding non-convergence in L^2 of polynomial multiple averages of non-commuting zero entropy ...

In this article we present applications of smooth numbers to the unconditional derandomization of some well-known integer factoring algorithms. We begin with Pollard's p – 1 algorithm, which finds in ...

Encompassing the set of all P problems is “NP” (non-deterministic polynomial), where a solution can be quickly verified by an algorithm in polynomial time, but it can’t necessarily be solved ...

QCi believes this project will highlight Dirac-3's capabilities in providing superior solutions to non-deterministic polynomial time hard (NP-hard) problems, significantly improving solution ...

The OCSSSP is a Non-Deterministic Polynomial Hard Problem. To increase the practical guiding significance of research conclusion, this paper further improves the model from synchronous operations of ...

Deterministic algorithms for PIT in non-commutative settings have been refined, building upon foundational work that employs algebraic methods to overcome the randomness typically required in ...