Examples of 'complexity class' in a sentence
Meaning of "complexity class"
complexity class: In computer science, this phrase refers to a set that categorizes computational problems based on their level of complexity, particularly in terms of time or space requirements for algorithms to solve them
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- a set of computational problems of related resource-based complexity
How to use "complexity class" in a sentence
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complexity class
A complexity class is a set of problems of related complexity.
The problem can be of any complexity class.
This complexity class is known as DTIMEfn.
This places it in the important complexity class PSPACE.
P is an important complexity class of counting problems not decision problems.
It is the quantum analogue of the complexity class BPP.
A complexity class in parameterized complexity.
Counting complexity class.
Scott Aaronson calls such a class a physical complexity class.
The complexity class of problems.
The union of all classes in the polynomial hierarchy is the complexity class PH.
Canonical complexity class.
The complexity class of all sparse languages is called SPARSE.
The corresponding complexity class is called FPT.
The complexity class of all such languages is sometimes called TALLY.
See also
The problems are not in complexity class APX.
It gave birth to a complexity class wich remained scarcely undersood for a long time.
PSPACE can be characterized as the quantum complexity class QIP.
The complexity class NP may be viewed as a very simple proof system.
The set of languages low for a complexity class A is denoted IowA.
We demonstrate that this problem belongs to the NP-hard complexity class.
Papadimitriou defined the complexity class PPA to encapsulate problems such as this one.
This makes the TQBF language part of the PSPACE complexity class.
However, in some cases a complexity class may be defined by reductions.
It is therefore a candidate for the NP-intermediate complexity class.
An algorithm can be of any suitable complexity class and / or parameterized complexity.
Intuitively, such problems count the number of solutions to problems in the complexity class NP.
In computational complexity theory, a complexity class is a set of problems of related resource-based complexity.
Therefore, the appropriate notion of reduction depends on the complexity class being studied.
AC0 is a complexity class used in circuit complexity.
In circuit complexity, AC is a complexity class hierarchy.
The complexity class QP consists of all problems that have quasi-polynomial time algorithms.
However, it has been shown to belong to the complexity class AM.
In computational complexity theory, the complexity class containing all recursively enumerable sets is RE.
This complexity class has a very natural complete problem, the Local Hamiltonian problem.
This allows to classify computational problems by complexity class such as P, NP.
The complexity class NP can be defined in terms of NTIME as follows,.
The problem is PPAD-complete, a complexity class invented by Christos Papadimitriou.
In computational complexity theory, co-NP is a complexity class.
It is the non-deterministic complexity class corresponding to the deterministic class P / poly.
This allows classification of computational problems by complexity class such as P, NP, etc.
ACC0 A circuit complexity class of bounded depth and counting gates.
Such algorithms belong to the complexity class 2-EXPTIME.
Explanation, The complexity class NP can be defined in terms of NTIME as,.
MAX-3SAT is a canonical complete problem for the complexity class MAXSNP shown complete in Papadimitriou pg.
The complexity class of FNP-complete problems is denoted by FNP-C or FNPC.
Even more, MA is contained in subclass SP 2, a complexity class expressing " symmetric alternation.
This complexity class is known as DTIME " f " " n.
For constant " k ", this is in the same complexity class as the Lucas-Lehmer test.
The complexity class PCP is defined as PCP1, ½.
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Onions in this class must be of good quality
Examples of using Complexity
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Maintain structural complexity throughout the landscape
Complexity of handling operations and lack of interoperability
Reduces number and complexity of station dependencies
