Examples of 'np-hard' in a sentence
Meaning of "np-hard"
np-hard (noun) - NP-hard is a complexity classification in computer science that denotes a problem that is at least as hard as the hardest problems in NP (nondeterministic polynomial time). These problems are difficult to solve and typically require exponential time to find a solution
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- A problem H is NP-hard if and only if there is an NP-complete problem L that is polynomial time Turing-reducible to H.
- An alternative definition restricts NP-hard to decision problems and then uses polynomial-time many-one reduction instead of Turing reduction.
How to use "np-hard" in a sentence
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np-hard
This problem is NP-hard in the strong sense.
Solving the general case is an NP-hard problem.
All three problems are NP-hard combinatorial optimization problems.
Finding the book thickness of a graph is NP-hard.
It is considered NP-hard in the number of points and clusters.
The maximum independent set problem is NP-hard.
This problem is an NP-hard optimization problem.
The general clustering problem is known to be NP-hard.
It is NP-hard to approximate the pathwidth of a graph to within an additive constant.
These two numbers are both NP-hard to compute.
It is an NP-hard problem in combinatorial optimization.
Finding the optimal variable ordering is NP-hard.
A simple example of an NP-hard problem is the subset sum problem.
We prove that the problem is strongly NP-Hard.
The method is strongly NP-hard and difficult to solve approximately.
See also
All such problems for nontrivial properties are NP-hard.
The cccp is a problem of np-hard class, so a difficult problem to be solved exactly.
The bottleneck traveling salesman problem is also NP-hard.
It is an NP-hard problem and many approximation algorithms have been proposed to construct it.
This approach is used for a number of NP-hard problems.
Minla is an np-hard problem whose corresponding polyhedron has a factorial number of extreme points.
This combinatorial problem is strongly NP-hard.
The maximum independent set problem is NP-hard and it is also hard to approximate.
Most of the problems arising in practice today are NP-hard.
Srap is a np-hard problem and finds applications for designing optical fiber networks.
It turns out that this problem is NP-hard in general.
The csp is np-hard and several methods have been proposed to solve the problem.
Such problems are usually classified NP-Hard.
The problem is NP-hard even when the problem is reduced to packing squares in a square.
The bottleneck travelling salesman problem is also NP-hard.
This decision problem is NP-hard and lies in PSPACE.
Scheduling tasks in a high-performance computing environment is an np-hard problem.
The problem is NP-hard and a Lagrangian heuristic is proposed.
But finding the optimal modularity is a NP-hard problem.
NP-hard combinatorial optimization problems are commonly encountered in numerous different domains.
Finding this blocking is an NP-hard problem.
History matching - NP-hard problem Simulation models often have several hundred thousand blocks.
Finding the number of such paths is conjectured to be an NP-hard problem.
Is our range of approximation algorithms NP-hard optimization problems . The main innovation offered at Cowabunga.
Finding the loop with the optimal configuration is NP-hard.
Randomized Search heuristics are frequently applied to NP-hard combinatorial optimization problems.
The difficulty of these problems on regular lattices is provably NP-hard.
This work is dedicated to the study of two np-hard optimization problems.
Combinatorial search algorithms are typically concerned with problems that are NP-hard.
The exact version of the problem is only known to be NP-hard for randomized reductions.
For the general case of an arbitrary number of input sequences, the problem is NP-hard.
Finding the optimal evaluation plan is in its general form a NP-hard combinatorial optimization problem.
We show that the problem of finding an optimal scheduling is NP-hard.
Determining the Hadwiger number of a graph is NP-hard but fixed-parameter tractable.
The problem of finding the best variable ordering is NP-hard.
