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exitime

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The answer EXITIME has 0 possible clue(s) in existing crosswords.

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The word EXITIME is NOT valid in any word game. (Sorry, you cannot play EXITIME in Scrabble, Words With Friends etc)

There are 7 letters in EXITIME ( E1I1M3T1X8 )

To search all scrabble anagrams of EXITIME, to go: EXITIME?

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4 letters out of EXITIME

EMIT EXIT ITEM MEET METE MITE MIXT TEEM TIME

3 letters out of EXITIME

EME MET MIX TEE TIE

2 letters out of EXITIME

EM ET EX IT ME MI TI XI

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Exitime might refer to
In computational complexity theory, the complexity class EXPTIME (sometimes called EXP or DEXPTIME) is the set of all decision problems that have exponential runtime, i.e., that are solvable by a deterministic Turing machine in O(2p(n)) time, where p(n) is a polynomial function of n.
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* {\displaystyle {\mathsf {EXPTIME}}=\bigcup _{k\in \mathbb {N} }{\mathsf {DTIME}}\left(2^{n^{k}}\right).}
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* P ⊆ NP ⊆ PSPACE ⊆ EXPTIME ⊆ NEXPTIME ⊆ EXPSPACEand also, by the time hierarchy theorem and the space hierarchy theorem, that
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* P ⊊ EXPTIME, NP ⊊ NEXPTIME and PSPACE ⊊ EXPSPACEso at least one of the first three inclusions and at least one of the last three inclusions must be proper, but it is not known which ones are. Most experts believe all the inclusions are proper. It's also known that if P = NP, then EXPTIME = NEXPTIME, the class of problems solvable in exponential time by a nondeterministic Turing machine. More precisely, EXPTIME ≠ NEXPTIME if and only if there exist sparse languages in NP that are not in P.EXPTIME can also be reformulated as the space class APSPACE, the problems that can be solved by an alternating Turing machine in polynomial space. This is one way to see that PSPACE ⊆ EXPTIME, since an alternating Turing machine is at least as powerful as a deterministic Turing machine.EXPTIME is one class in an exponential hierarchy of complexity classes with increasingly more complex oracles or quantifier alternations. The class 2-EXPTIME is defined similarly to EXPTIME but with a doubly exponential time bound
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* {\displaystyle 2^{2^{p(n)}}}
* . This can be generalized to higher and higher time bounds.
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