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nexp

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There are 4 letters in NEXP ( E¹N¹P³X⁸ )

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3 letters out of NEXP

PEN

2 letters out of NEXP

EN EX NE PE

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Definitions of nexp in various dictionaries:

NEXP - In computational complexity theory, the complexity class NEXPTIME (sometimes called NEXP) is the set of decision problems that can be solved by a non...

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Nexp might refer to
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 * ( * * \| * * x * * \| * * ) * * * * * {\displaystyle 2^{q(\|x\|)}} * such that * * * * M * ( * x * , * y * ) * = * 1 * * * {\displaystyle M(x,y)=1} * * For all x not in L and all strings y of length * * * * * 2 * * q * ( * * \| * * x * * \| * * ) * * * * * {\displaystyle 2^{q(\|x\|)}} * , * * * * M * ( * x * , * y * ) * = * 0 * * * {\displaystyle M(x,y)=0} * We know * * P ⊆ NP ⊆ EXPTIME ⊆ NEXPTIMEand also, by the time hierarchy theorem, that * * NP ⊊ NEXPTIMEIf P = NP, then NEXPTIME = EXPTIME (padding argument); more precisely, E ≠ NE if and only if there exist sparse languages in NP that are not in P.

Nexp might refer to

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
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* {\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
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* P ⊆ NP ⊆ EXPTIME ⊆ NEXPTIMEand also, by the time hierarchy theorem, that
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* NP ⊊ NEXPTIMEIf P = NP, then NEXPTIME = EXPTIME (padding argument); more precisely, E ≠ NE if and only if there exist sparse languages in NP that are not in P.

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