Examples of 'np-complete' in a sentence
Meaning of "np-complete"
np-complete (adjective) - A term used in computer science to describe a problem that is at least as hard as the hardest problems in the complexity class NP. It refers to problems for which a given solution can be verified quickly but not necessarily solved quickly
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- That is both NP (solvable in polynomial time by a non-deterministic Turing machine) and NP-hard (such that any (other) NP problem can be reduced to it in polynomial time).
How to use "np-complete" in a sentence
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np-complete
Solving NP-complete problems requires exponential time.
It was among the first problems shown to be NP-complete.
Recall that NP-Complete problems are decision problems.
The problem of optimal register allocation is NP-complete.
Some of these problems are NP-complete for general graphs.
The latter problem is also shown to be NP-Complete.
I found a method to solve an NP-complete problem in polynomial time.
They showed that this problem is NP-complete.
Finding the smallest tree is NP-complete computationally very heavy.
The clique decision problem is NP-complete.
Solution for np-complete problems are obtained with heuristic algorithms.
Solving constraints of this kind is an NP-complete problem.
No algorithm for any NP-complete problem is known to run in polynomial time.
The problem belongs to a class of NP-complete ones.
This version was shown to be NP-complete likewise to the unrestricted version.
See also
Finding a minimal coloring graph is indeed a NP-complete problem.
Pathwidth, a different NP-complete optimization problem involving linear layouts of graphs.
Maybe you are asking for an NP-complete problem.
All currently known NP-complete problems are NP-complete under log space reductions.
Determining whether a given puzzle can be solved is NP-complete.
Combinatorial problems that are NP-complete are the most difficult to solve.
Finding a spanning caterpillar in a graph is NP-complete.
The feedback vertex set problem is an NP-complete problem in computational complexity theory.
Turns out longest path problem is also NP-complete.
It remains NP-complete to test whether a circle graph can be colored by four colors.
Thus token reconfiguration is also NP-complete on general graphs.
The general problem of pseudoknot prediction has been shown to be NP-complete.
The scheduling problem is known to be NP-complete in the strong sense.
Solving systems of multivariate polynomial equations is proven to be NP-hard or NP-complete.
A famous network of conditional proofs is the NP-complete class of complexity theory.
Given a graph, deciding whether it is the square of another graph is NP-complete.
We show that this problem is NP-complete and propose two approximation algorithms.
Decision problems that are at least as hard as NP-complete problems.
Saying that some problem is NP-complete tells us an awful lot about that problem.
It should be noted that SekeOrk is NP-complete.
Gödel asked whether a certain NP-complete problem could be solved in quadratic or linear time.
However most interesting variants of this problem are NP-complete.
You identify NP-complete problems by finding a reduction from them to a known NP-complete problem.
Prove that a given language is NP-complete.
All currently known NP-complete problems remain NP-complete even under much weaker reductions.
It has been shown that the problem remains NP-complete.
This problem belongs to the class of np-complete problems and several approaches have been proposed.
But this problem is known to be NP-complete.
Karp originally showed set packing NP-complete via a reduction from the clique problem.
The related search problem is NP-complete.
The problem itself is NP-complete and thus probably can not be solved in polynomial time.
Even recognizing the graphs of linear arboricity two is NP-complete.
We believe that there is a dichotomy between NP-complete and polynomial-time solvable instances of this problem.
There are many variations that are also NP-complete.
NP-complete problems are the most difficult known problems.
