A calculus for the random generation of labelled combinatorial structures
Theoretical Computer Science
Random sampling of large planar maps and convex polyhedra
STOC '99 Proceedings of the thirty-first annual ACM symposium on Theory of computing
Uniform random generation of decomposable structures using floating-point arithmetic
Theoretical Computer Science - Special issue on Caen '97
Random maps, coalescing saddles, singularity analysis, and airy phenomena
Random Structures & Algorithms - Special issue on analysis of algorithms dedicated to Don Knuth on the occasion of his (100)8th birthday
An Information-Theoretic Upper Bound of Planar Graphs Using Triangulation
STACS '03 Proceedings of the 20th Annual Symposium on Theoretical Aspects of Computer Science
On random planar graphs, the number of planar graphs and their triangulations
Journal of Combinatorial Theory Series B
On the Number of Edges in Random Planar Graphs
Combinatorics, Probability and Computing
Boltzmann Samplers for the Random Generation of Combinatorial Structures
Combinatorics, Probability and Computing
Journal of Combinatorial Theory Series B
Dissections and trees, with applications to optimal mesh encoding and to random sampling
SODA '05 Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms
Generating Outerplanar Graphs Uniformly at Random
Combinatorics, Probability and Computing
Sampling unlabeled biconnected planar graphs
ISAAC'05 Proceedings of the 16th international conference on Algorithms and Computation
Generating unlabeled connected cubic planar graphs uniformly at random
Random Structures & Algorithms
Uniform random sampling of planar graphs in linear time
Random Structures & Algorithms
Coordination by design and the price of autonomy
Autonomous Agents and Multi-Agent Systems
An experimental study on generating planar graphs
FAW-AAIM'11 Proceedings of the 5th joint international frontiers in algorithmics, and 7th international conference on Algorithmic aspects in information and management
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We present a deterministic polynomial time algorithm to sample a labeled planar graph uniformly at random. Our approach uses recursive formulae for the exact number of labeled planar graphs with n vertices and m edges, based on a decomposition into 1-, 2-, and 3-connected components. We can then use known sampling algorithms and counting formulae for 3-connected planar graphs.