Near-minimal spanning trees: A scaling exponent in probability models
DOI10.1214/07-AIHP138zbMath1186.05108arXivmath/0609547MaRDI QIDQ731711
David J. Aldous, Charles Bordenave, Marc Lelarge
Publication date: 8 October 2009
Published in: Annales de l'Institut Henri Poincaré. Probabilités et Statistiques (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/math/0609547
combinatorial optimizationPoisson point processprobabilistic analysis of algorithmscontinuum percolationrandom geometric graphlocal weak convergenceminimal spanning treedisordered lattice
Analysis of algorithms (68W40) Trees (05C05) Random graphs (graph-theoretic aspects) (05C80) Interacting random processes; statistical mechanics type models; percolation theory (60K35)
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Cites Work
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- Asymptotics for Euclidean minimal spanning trees on random points
- Probability theory of classical Euclidean optimization problems
- Simultaneous uniqueness of infinite clusters in stationary random labeled graphs
- Weak laws of large numbers in geometric probability
- Percolation and minimal spanning forests in infinite graphs
- The ?(2) limit in the random assignment problem
- Continuum Percolation
- Scaling and universality in continuous length combinatorial optimization
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