In computational complexity theory, the complexity class NEXPTIME (sometimes called NEXP) is the set of decision problems that can be solved by a non-deterministic Turing machine using time 2 n O ( 1 ) {\displaystyle 2^{n^{O(1)}}} .
In terms of NTIME,
N E X P T I M E = ⋃ k ∈ N N T I M E ( 2 n k ) {\displaystyle {\mathsf {NEXPTIME}}=\bigcup _{k\in \mathbb {N} }{\mathsf {NTIME}}(2^{n^{k}})}Alternatively, NEXPTIME can be defined using deterministic Turing machines as verifiers. A language L is in NEXPTIME if and only if there exist polynomials p and q, and a deterministic Turing machine M, such that
For all x and y, the machine M runs in time 2 p ( | x | ) {\displaystyle 2^{p(|x|)}} on input ( x , y ) {\displaystyle (x,y)} For all x in L, there exists a string y of length 2 q ( reference nanEver curious about what that abbreviation stands for? fullforms has got them all listed out for you to explore. Simply,Choose a subject/topic and get started on a self-paced learning journey in a world of fullforms.
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