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Parking on a Random Tree [PDF]
Consider an infinite tree with random degrees, i.i.d. over the sites, with a prescribed probability distribution with generating function G(s). We consider the following variation of Renyi's parking problem, alternatively called blocking RSA: at every vertex of the tree a particle (or car) arrives with rate one.
Herold Dehling+2 more
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One-sided Variations on Tries: Path Imbalance, Climbing, and Key Sampling [PDF]
One-sided variations on path length in a trie (a sort of digital trees) are investigated: They include imbalance factors, climbing under different strategies, and key sampling.
Costas A. Christophi, Hosam M. Mahmoud
doaj +1 more source
Random Trees Are the Cornerstones of Natural Forests
Natural forests serve as the main component of the forest ecosystem. An in-depth interpretation of tree composition and structure of forest community is of great significance for natural forest conservation, monitoring, management, and near-natural ...
Gongqiao Zhang, G. Hui
semanticscholar +1 more source
A functional limit law for the profile of plane-oriented recursive trees. [PDF]
We give a functional limit law for the normalized profile of random plane-oriented recursive trees. The proof uses martingale convergence theorems in discrete and continuous-time. This complements results of Hwang (2007).
Henning Sulzbach
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Additive tree functionals with small toll functions and subtrees of random trees [PDF]
Many parameters of trees are additive in the sense that they can be computed recursively from the sum of the branches plus a certain toll function. For instance, such parameters occur very frequently in the analysis of divide-and-conquer algorithms. Here
Stephan Wagner
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Parking on a Random Tree [PDF]
Consider a uniform random rooted labelled tree on n vertices. We imagine that each node of the tree has space for a single car to park. A number m ≤ n of cars arrive one by one, each at a node chosen independently and uniformly at random. If a car arrives at a space which is already occupied, it follows the unique path towards the root until it ...
Goldschmidt, C, Przykucki, M
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Data‐driven performance metrics for neural network learning
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri+2 more
wiley +1 more source
Conditioned Galton-Watson trees do not grow [PDF]
An example is given which shows that, in general, conditioned Galton-Watson trees cannot be obtained by adding vertices one by one, while this can be done in some important but special cases, as shown by Luczak and Winkler.
Svante Janson
doaj +1 more source
Random Records and Cuttings in Split Trees: Extended Abstract [PDF]
We study the number of records in random split trees on $n$ randomly labelled vertices. Equivalently the number of random cuttings required to eliminate an arbitrary random split tree can be studied.
Cecilia Holmgren
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Spreading of Infections on Network Models: Percolation Clusters and Random Trees
We discuss network models as a general and suitable framework for describing the spreading of an infectious disease within a population. We discuss two types of finite random structures as building blocks of the network, one based on percolation concepts
Hector Eduardo Roman, Fabrizio Croccolo
doaj +1 more source