Lorentz JÄNTSCHI (lori) works ?id=182
• [id] => 182
• [recorddate] => 2008:10:17:10:59:12
• [lastupdate] => 2008:10:17:10:59:12
• [type] => conference
• [place] => Plovdiv, Bulgaria
• [subject] => informatics - applied; mathematics - modeling; mathematics - number theory; mathematics - statistics
• [relatedworks] =>
• 4 (some):
• Subgraphs by pairs of vertices, ?id=100
• Counting polynomials on regular iterative structures, ?id=194
• Distribution fitting 1. Parameters estimation under assumption of agreement between observation and model, ?id=195
• Observation vs. observable: maximum likelihood estimations according to the assumption of generalized Gauss and Laplace distributions, ?id=206
• [file] => ?f=182
• [mime] => application/pdf
• [size] => 170604
• [pubname] => Fifth International Conference of Applied Mathematics and Computing
• [pubinfo] => University of Chemical Technology and Metallurgy Sofia & Technical University of Plovdiv
• [pubkey] => Invited lecture, presented on August 12, from 16.30 to 17.00
• [workinfo] => Proc Int Conf Appl Math Comput 2008 5(2), p. 216
• [year] => 2008
• [title] => Entropy and energy of substructures obtained by vertex cutting in regular trees
• [authors] => Lorentz JÄNTSCHI, Sorana D. BOLBOACĂ
• [abstract] =>
The entropy (a quantitative measure of disorder in a system) and informational energy (informational disorder) of substructures obtained by cutting the vertex in regular trees was investigated and is presented. In a regular tree every vertex has the same number of children and leafs had no children at all. The information energy was defined as Energy = Σpi2, where pi = the probability of apparition of a substructure of i size. The entropy was defined as Entropy = pilog2pi, where pi has the signification described above. Regarding the entropy the following remarks can be done: (a) the entropy decrease with ramification; (b) the entropy increase with increasing of the number of levels; and (c) the decreasing with ramification is more accentuate compared with the increasing of the number of levels.
Regarding the information energy a decrease with the decrease of ramification and with the increase of number of levels was observed.
• [keywords] => Entropy; Informational Energy; Regular Trees