Results 31 to 40 of about 6,285,799 (375)

Random Records and Cuttings in Split Trees: Extended Abstract [PDF]

open access: yesDiscrete 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
doaj   +1 more source

Random Trees in Random Graphs [PDF]

open access: yesProceedings 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
Bender, E. A., Wormald, N. C.
openaire   +2 more sources

Topological indices for random spider trees

open access: yesMain Group Metal Chemistry, 2023
In this study, we characterize the structure and some topological indices of a class of random spider trees (RSTs) such as degree-based Gini index, degree-based Hoover index, generalized Zagreb index, and other indices associated with these.
Sigarreta Saylé   +2 more
doaj   +1 more source

Distribution of inter-node distances in digital trees [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2005
We investigate distances between pairs of nodes in digital trees (digital search trees (DST), and tries). By analytic techniques, such as the Mellin Transform and poissonization, we describe a program to determine the moments of these distances.
Rafik Aguech   +2 more
doaj   +1 more source

Improved Random Forest Algorithm Based on Out-of-Bag Prediction and Extended Space [PDF]

open access: yesJisuanji gongcheng, 2022
On the basis of the bootstrap method, the random forest algorithm constructs a decision tree by using sampling characteristics.This reduces the correlation among decision trees at the expense of decision tree accuracy, thereby improving the prediction ...
CHANG Shuo, ZHANG Yanchun
doaj   +1 more source

The continuous limit of large random planar maps [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2008
We discuss scaling limits of random planar maps chosen uniformly over the set of all $2p$-angulations with $n$ faces. This leads to a limiting space called the Brownian map, which is viewed as a random compact metric space.
Jean-François Le Gall
doaj   +1 more source

Pattern distribution in various types of random trees [PDF]

open access: yesDiscrete 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
doaj   +1 more source

A Heuristic Rapidly-Exploring Random Trees Method for Manipulator Motion Planning

open access: yesIEEE 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

Tail Bounds for the Wiener Index of Random Trees [PDF]

open access: yesDiscrete 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

Concentration Properties of Extremal Parameters in Random Discrete Structures [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2006
The purpose of this survey is to present recent results concerning concentration properties of extremal parameters of random discrete structures. A main emphasis is placed on the height and maximum degree of several kinds of random trees. We also provide
Michael Drmota
doaj   +1 more source

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