Results 21 to 30 of about 5,474,085 (350)
One-sided Variations on Tries: Path Imbalance, Climbing, and Key Sampling [PDF]
Discrete Mathematics & Theoretical Computer Science, 2007 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
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Parking on a Random Tree [PDF]
Combinatorics, Probability and Computing, 2018 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
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 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]
Discrete Mathematics & Theoretical Computer Science, 2006 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
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Random Trees in Random Graphs [PDF]
Proceedings of the American Mathematical Society, 1988 We show that a random labeled n n -vertex graph almost surely contains isomorphic copies of almost all labeled n n -vertex trees, in two senses. In the first sense, the probability of each edge occurring in the graph diminishes as n n increases, and the set of trees referred to as "almost all" depends
Nicholas C. Wormald, Edward A. Bender
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Random Records and Cuttings in Split Trees: Extended Abstract [PDF]
Discrete Mathematics & Theoretical Computer Science, 2008 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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A Heuristic Rapidly-Exploring Random Trees Method for Manipulator Motion Planning
IEEE Access, 2020 In order to plan the robot path in 3D space efficiently, a modified Rapidly-exploring Random Trees based on heuristic probability bias-goal (PBG-RRT) is proposed.
Chengren Yuan +4 more
semanticscholar +1 more source
Pattern distribution in various types of random trees [PDF]
Discrete Mathematics & Theoretical Computer Science, 2005 Let $\mathcal{T}_n$ denote the set of unrooted unlabeled trees of size $n$ and let $\mathcal{M}$ be a particular (finite) tree. Assuming that every tree of $\mathcal{T}_n$ is equally likely, it is shown that the number of occurrences $X_n$ of $\mathcal{M}
Gerard Kok
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Tail Bounds for the Wiener Index of Random Trees [PDF]
Discrete Mathematics & Theoretical Computer Science, 2007 Upper and lower bounds for the tail probabilities of the Wiener index of random binary search trees are given. For upper bounds the moment generating function of the vector of Wiener index and internal path length is estimated.
Tämur Ali Khan, Ralph Neininger
doaj +1 more source
Fragmentation of random trees [PDF]
Journal of Physics A: Mathematical and Theoretical, 2014 We study fragmentation of a random recursive tree into a forest by repeated removal of nodes. The initial tree consists of N nodes and it is generated by sequential addition of nodes with each new node attaching to a randomly-selected existing node. As nodes are removed from the tree, one at a time, the tree dissolves into an ensemble of separate trees,
Kalay, Z, Ben-Naim, E
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