Crossword Solver > found answer > NCOMPLE

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ncomple

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

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

There are 7 letters in NCOMPLE ( C3E1L1M3N1O1P3 )

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

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Scrabble results that can be created with an extra letter added to NCOMPLE

COMPLINE

6 letters out of NCOMPLE

COMPEL

5 letters out of NCOMPLE

CELOM CLOMP CLONE COPEN LEMON MELON PELON PLEON PONCE

4 letters out of NCOMPLE

CLON CLOP COLE COME COMP CONE COPE ENOL LENO LONE LOPE MENO MOLE MOPE NOEL NOME NOPE OMEN ONCE OPEN PEON POEM POLE POME PONE

3 letters out of NCOMPLE

CEL CEP COL CON COP ELM EON LOP MEL MEN MOC MOL MON MOP NOM OLE ONE OPE PEC PEN POL POM

2 letters out of NCOMPLE

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

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Definitions of ncomple in various dictionaries:

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Ncomple 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 any given solution to an NP-complete problem can be verified quickly (in polynomial time), there is no known efficient way to locate a solution in the first place; the most notable characteristic of NP-complete problems is that no fast solution to them is known. That is, the time required to solve the problem using any currently known algorithm increases very quickly 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 using a reasonable amount of time 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.
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