Laboratoire de Physique Théorique et Modélisation. CY Cergy Paris University, France
Abstract
Trees, as loop-free graphs, are fundamental hierarchical structures of Nature. Depending on the way their constitutive atoms are labeled, their growth obeys different sequential dynamics when a new atom is being appended to a current tree, possibly forming a new tree. Randomized versions of the underlying counting problems are shown to lead, in general, to Markovian triangular sequences.
Huillet, T. (2024). On sequential growth of trees subject to various labeling constraints: from enumeration to probability theory. Stochastic Models in Probability and Statistics, 1(1), 75-104.
MLA
Thierry Huillet. "On sequential growth of trees subject to various labeling constraints: from enumeration to probability theory", Stochastic Models in Probability and Statistics, 1, 1, 2024, 75-104.
HARVARD
Huillet, T. (2024). 'On sequential growth of trees subject to various labeling constraints: from enumeration to probability theory', Stochastic Models in Probability and Statistics, 1(1), pp. 75-104.
VANCOUVER
Huillet, T. On sequential growth of trees subject to various labeling constraints: from enumeration to probability theory. Stochastic Models in Probability and Statistics, 2024; 1(1): 75-104.
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