Analysis of the impact of the number of edges in connected graphs on the computational complexity of the independent set problem

Under study is the complexity status of the independent set problem in a class of connected graphs that are defined by functional constraints on the number of edges depending on the number of vertices. For every natural number C , this problem is shown to be polynomially solvable in the class of gra...

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Vydané v:Journal of applied and industrial mathematics Ročník 6; číslo 1; s. 97 - 99
Hlavný autor: Malyshev, D. S.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Dordrecht SP MAIK Nauka/Interperiodica 01.01.2012
Springer Nature B.V
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ISSN:1990-4789, 1990-4797
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Abstract Under study is the complexity status of the independent set problem in a class of connected graphs that are defined by functional constraints on the number of edges depending on the number of vertices. For every natural number C , this problem is shown to be polynomially solvable in the class of graphs On the other hand, this problem is proved to be not polynomially solvable in the class of graphs for every unbounded nondecreasing function f ( n ): ℕ → ℕ, such that exponent of this function grows faster than a polynomial function of n . The latter result is true if there does not exist a subexponential algorithm for solving the independent set problem.
AbstractList Under study is the complexity status of the independent set problem in a class of connected graphs that are defined by functional constraints on the number of edges depending on the number of vertices. For every natural number C, this problem is shown to be polynomially solvable in the class of graphs limits n = 1 ∞ { G : ∣ V ( G ) ∣ = n , ∣ E ( G ) ∣ n + C [ log 2 ( n ) ] } . On the other hand, this problem is proved to be not polynomially solvable in the class of graphs limits n = 1 ∞ { G : ∣ V ( G ) ∣ = n , ∣ E ( G ) ∣ n + f 2 ( n ) } for every unbounded nondecreasing function f(n): [arrow right] , such that exponent of this function grows faster than a polynomial function of n. The latter result is true if there does not exist a subexponential algorithm for solving the independent set problem.[PUBLICATION ABSTRACT]
Under study is the complexity status of the independent set problem in a class of connected graphs that are defined by functional constraints on the number of edges depending on the number of vertices. For every natural number C , this problem is shown to be polynomially solvable in the class of graphs On the other hand, this problem is proved to be not polynomially solvable in the class of graphs for every unbounded nondecreasing function f ( n ): ℕ → ℕ, such that exponent of this function grows faster than a polynomial function of n . The latter result is true if there does not exist a subexponential algorithm for solving the independent set problem.
Under study is the complexity status of the independent set problem in a class of connected graphs that are defined by functional constraints on the number of edges depending on the number of vertices. For every natural number C, this problem is shown to be polynomially solvable in the class of graphs [intersection] limits n = 1 infinity { G : [mid] V ( G ) [mid] = n , [mid] E ( G ) [mid] [el] n + C [ log 2 ( n ) ] } . On the other hand, this problem is proved to be not polynomially solvable in the class of graphs [intersection] limits n = 1 infinity { G : [mid] V ( G ) [mid] = n , [mid] E ( G ) [mid] [el] n + f 2 ( n ) } for every unbounded nondecreasing function f(n): arrow right , such that exponent of this function grows faster than a polynomial function of n. The latter result is true if there does not exist a subexponential algorithm for solving the independent set problem.
Author Malyshev, D. S.
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Cites_doi 10.1006/jcss.2001.1774
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independent set problem
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References Malyshev (CR1) 2010
Impagliazzo, Paturi (CR3) 2001; 62
Aho, Hopcroft, Ullman (CR2) 1974
R. Impagliazzo (4204_CR3) 2001; 62
A. V. Aho (4204_CR2) 1974
D. S. Malyshev (4204_CR1) 2010
References_xml – year: 1974
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– volume: 62
  start-page: 512
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  ident: CR3
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  publication-title: J. Comput. System Sci.
  doi: 10.1006/jcss.2001.1774
– start-page: 136
  year: 2010
  ident: CR1
  article-title: Joint Influence of the Number of Edges and the Component Connectedness in Graphs on the Complexity of the Independence Number Calculation
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  start-page: 512
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  volume-title: Proceedings of the Russian Conference “Discrete Optimization and Operation Research” (The Altai Republic
  year: 2010
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SubjectTerms Algorithms
Complexity
Computation
Computational mathematics
Exponents
Graphs
Intersections
Mathematical analysis
Mathematical models
Mathematics
Mathematics and Statistics
Set theory
Studies
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