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A direct decomposition of 3-connected planar graphs. Séminaire Lotharingien de Combinatoire, 54A: Art (0)

by M Bodirsky, C Gröpl, D Johannsen, M Kang
Venue:B54Ak
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Generating Labeled Planar Graphs Uniformly at Random

by Manuel Bodirsky, Clemens Gröpl, Mihyun Kang , 2003
"... We present an expected polynomial time algorithm to generate a labeled planar graph uniformly at random. To generate the planar graphs, we derive recurrence formulas that count all such graphs with n vertices and m edges, based on a decomposition into 1-, 2-, and 3-connected components. For 3-con ..."
Abstract - Cited by 30 (5 self) - Add to MetaCart
We present an expected polynomial time algorithm to generate a labeled planar graph uniformly at random. To generate the planar graphs, we derive recurrence formulas that count all such graphs with n vertices and m edges, based on a decomposition into 1-, 2-, and 3-connected components. For 3-connected graphs we apply a recent random generation algorithm by Schaeffer and a counting formula by Mullin and Schellenberg.
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...s with given numbers of vertices and edges. For the generation of 3-connected labeled planar graphs with given numbers of vertices and edges we employ a recent deterministic polynomial time algorithm =-=[3]-=-. Alternatively, we can use a sampling procedure that runs in expected linear time that was recently presented in [13]; in this case we obtain an expected polynomial time sampler for labeled planar gr...

Enumeration and Asymptotic Properties of Unlabeled Outerplanar Graphs

by Manuel Bodirsky, Éric Fusy, Mihyun Kang, Stefan Vigerske - JOURNAL OF COMBINATORICS , 2007
"... We determine the exact and asymptotic number of unlabeled outerplanar graphs. The exact number gn of unlabeled outerplanar graphs on n vertices can be computed in polynomial time, and gn is asymptotically g n −5/2 ρ −n, where g ≈ 0.00909941 and ρ −1 ≈ 7.50360 can be approximated. Using our enumerati ..."
Abstract - Cited by 7 (3 self) - Add to MetaCart
We determine the exact and asymptotic number of unlabeled outerplanar graphs. The exact number gn of unlabeled outerplanar graphs on n vertices can be computed in polynomial time, and gn is asymptotically g n −5/2 ρ −n, where g ≈ 0.00909941 and ρ −1 ≈ 7.50360 can be approximated. Using our enumerative results we investigate several statistical properties of random unlabeled outerplanar graphs on n vertices, for instance concerning connectedness, the chromatic number, and the number of edges. To obtain the results we combine classical cycle index enumeration with recent results from analytic combinatorics.

Sampling unlabeled biconnected planar graphs

by Manuel Bodirsky, Clemens Gröpl, Mihyun Kang - IN THE PROCEEDINGS OF THE 16TH ANNUAL INTERNATIONAL SYMPOSIUM ON ALGORITHMS AND COMPUTATION (ISAAC’05), 2005, SPRINGER LNCS 3827, 593 – 603
"... We present an expected polynomial time algorithm to generate a 2-connected unlabeled planar graph uniformly at random. To do this we first derive recurrence formulas to count the exact number of rooted 2-connected planar graphs, based on a decomposition along the connectivity structure. For 3-conn ..."
Abstract - Cited by 4 (4 self) - Add to MetaCart
We present an expected polynomial time algorithm to generate a 2-connected unlabeled planar graph uniformly at random. To do this we first derive recurrence formulas to count the exact number of rooted 2-connected planar graphs, based on a decomposition along the connectivity structure. For 3-connected planar graphs we use the fact that they have a unique embedding on the sphere. Special care has to be taken for rooted graphs that have a sense-reversing or a poleexchanging automorphism. We prove a bijection between such symmetric objects and certain colored networks. These colored networks can again be decomposed along their connectivity structure. All the numbers can be evaluated in polynomial time by dynamic programming. To generate 2-connected unlabeled planar graphs without a root uniformly at random we apply rejection sampling and obtain an expected polynomial time algorithm.
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...pported by the German Federal Ministry of Education and Research within the Berlin Center for Genome Based Bioinformatics (BMBF grant no. 031 2705A).sThe asymptotic number [3] and sampling procedures =-=[5,13]-=- for 3-connected planar graphs are known. In this paper we present an algorithm that generates two-connected graphs on m edges uniformly at random in expected polynomial time in m. Such graphs have in...

Random Cubic Planar Graphs

by Manuel Bodirsky, Mihyun Kang, Mike Löffler, Colin McDiarmid
"... We show that the number of labeled cubic planar graphs on n vertices with n even is asymptotically αn −7/2 ρ −n n!, where ρ −1. = 3.13259 and α are analytic constants. We show also that the chromatic number of a random cubic planar graph that is chosen uniformly at random among all the labeled cubic ..."
Abstract - Cited by 4 (2 self) - Add to MetaCart
We show that the number of labeled cubic planar graphs on n vertices with n even is asymptotically αn −7/2 ρ −n n!, where ρ −1. = 3.13259 and α are analytic constants. We show also that the chromatic number of a random cubic planar graph that is chosen uniformly at random among all the labeled cubic planar graphs on n vertices is three with probability tending to e −ρ4 /4!. = 0.999568, and is four with probability tending to 1−e −ρ 4 /4! as n → ∞ with n even. The proof given combines generating function techniques with probabilistic arguments.
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...) (7) D(x) = B(x) 2 /x 2 S(x) = C(x) 2 − C(x)S(x) (9) P(x) = x 2 C(x) + x 2 C(x) 2 /2 . (10) We can also describe the substitution in Equation (1) for H(x) algebraically, using Equations (4) and (5). =-=(8)-=- 2(C(x) + 1)H(x) = u(1 − 2u) − u(1 − u) 3 (11) x 2 (C(x) + 1) 3 = u(1 − u) 3 . (12) Using algorithms for computing resultants and factorizations (these are standard procedures in e.g., Maple or Mathem...

The Maximum Degree of Random Planar Graphs

by Michael Drmota, Omer Giménez, Marc Noy, Konstantinos Panagiotou, Angelika Steger
"... Let Pn denote a graph drawn uniformly at random from the class of all simple planar graphs with n vertices. We show that the maximum degree of a vertex in Pn is with probability 1−o(1) asymptotically equal to c log n, where c ≈ 2.529 is determined explicitly. A similar result is also true for random ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
Let Pn denote a graph drawn uniformly at random from the class of all simple planar graphs with n vertices. We show that the maximum degree of a vertex in Pn is with probability 1−o(1) asymptotically equal to c log n, where c ≈ 2.529 is determined explicitly. A similar result is also true for random 2-connected planar graphs. Our analysis combines two orthogonal methods that complement each other. First, in order to obtain the upper bound, we resort to exact methods, i.e., to generating functions and analytic combinatorics. This allows us to obtain fairly precise asymptotic estimates for the expected number of vertices of any given degree in Pn. On the other hand, for the lower bound we use Boltzmann sampling. In particular, by tracing the execution of an adequate algorithm that generates a random planar graph, we are able to explicitly find vertices of sufficiently high degree in Pn.
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...e decomposition of the class of all connected planar graphs is to specify the class T. We will not describe the decomposition here, as it is not needed for our further analysis, and refer to [25] and =-=[5]-=-. However, we need the associated generating functions, which satisfy the following equations. T(x,y) = y 2 where U(x,y) and V(x,y) are given by ( 1 1 + 1+xy 1+y −1− (1+U(x,y))2 (1+V(x,y)) 2 (1+U(x,y)...

Generating Unlabeled Connected Cubic Planar Graphs Uniformly at Random

by Manuel Bodirsky, Clemens Gröpl, Mihyun Kang
"... We present an expected polynomial time algorithm to generate an unlabeled connected cubic planar graph uniformly at random. We first consider rooted connected cubic planar graphs, i.e., we count connected cubic planar graphs up to isomorphisms that fix a certain directed edge. Based on decompositi ..."
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We present an expected polynomial time algorithm to generate an unlabeled connected cubic planar graph uniformly at random. We first consider rooted connected cubic planar graphs, i.e., we count connected cubic planar graphs up to isomorphisms that fix a certain directed edge. Based on decompositions along the connectivity structure, we derive recurrence formulas for the exact number of rooted cubic planar graphs. This leads to rooted 3-connected cubic planar graphs, which have a unique embedding on the sphere. Special care has to be taken for rooted graphs that have a sensereversing automorphism. Therefore we introduce the concept of colored networks, which stand in bijective correspondence to rooted 3-connected cubic planar graphs with given symmetries. Colored networks can again be decomposed along the connectivity structure. For rooted 3-connected cubic planar graphs embedded in the plane, we switch to the dual and count rooted triangulations. Since all these numbers can be evaluated in polynomial time using dynamic programming, rooted connected cubic planar graphs can be generated uniformly at random in polynomial time by inverting the decomposition along the connectivity structure. To generate connected cubic planar graphs without a root uniformly at random, we apply rejection sampling and obtain an expected polynomial time algorithm.
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