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ncomplet

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

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

There are 8 letters in NCOMPLET ( C3E1L1M3N1O1P3T1 )

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

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6 letters out of NCOMPLET

COEMPT COMPEL LEPTON LOMENT MELTON MOLTEN POTMEN

5 letters out of NCOMPLET

CELOM CENTO CLEPT CLOMP CLONE COMET COMPT COMTE CONTE COPEN LEMON LENTO MELON METOL MONTE MOTEL NETOP ONCET PELON PLEON PONCE TELCO TEMPO

4 letters out of NCOMPLET

CELT CENT CLON CLOP CLOT COLE COLT COME COMP CONE COPE COTE ENOL LENO LENT LEPT LONE LOPE MELT MENO MOLE MOLT MOPE MOTE NOEL NOME NOPE NOTE OMEN ONCE OPEN PELT PENT PEON PLOT POEM POET POLE POME PONE TEMP TOLE TOME TONE TOPE

3 letters out of NCOMPLET

CEL CEP COL CON COP COT ELM EON LET LOP LOT MEL MEN MET MOC MOL MON MOP MOT NET NOM NOT OLE ONE OPE OPT PEC PEN PET POL POM POT TEL TEN TOE TOM TON TOP

2 letters out of NCOMPLET

EL EM EN ET LO ME MO NE NO OE OM ON OP PE TO

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Definitions of ncomplet in various dictionaries:

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Ncomplet might refer to
In computational complexity theory, an NP-complete decision problem is one belonging to both the NP and the NP-hard complexity classes. In this context, NP stands for "nondeterministic polynomial time". The set of NP-complete problems is often denoted by NP-C or NPC.
* Although a solution to an NP-complete problem can be verified "quickly," there is no known way to find a solution quickly. That is, the time required to solve the problem using any currently known algorithm increases rapidly as the size of the problem grows. As a consequence, determining whether it is possible to solve these problems quickly, called the P versus NP problem, is one of the fundamental unsolved problems in computer science today.
* While a method for computing the solutions to NP-complete problems quickly remains undiscovered, computer scientists and programmers still frequently encounter NP-complete problems. NP-complete problems are often addressed by using heuristic methods and approximation algorithms.
* In this context "quickly" means in polynomial time. That is, "efficient" or "fast" algorithms can be developed to solve the problem.
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