Detail publikace

On influence of interaction laws of dynamical particle system for sampling optimization

MAŠEK, J. VOŘECHOVSKÝ, M.

Originální název

On influence of interaction laws of dynamical particle system for sampling optimization

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

The presented paper investigates the effect of the formulation of the energy potential of a dynamical particle system used for the optimization of statistical point sampling. The dynamical particle system, originally developed as a physical analogy to the Audze-Eglajs (AE) optimization criterion and its periodical modification (PAE), effectively demonstrated that the originally proposed energy potential performs well only in poorly applicable scenarios featuring low-dimensional design domains filled with a rather high number of design points. A remedy is presented which involves a refined formulation of the energy potential, as well as its derivation. The reasoning behind this approach is also dealt with in detail.

Klíčová slova

Particle dynamical system; statistical sampling optimization; periodic space; particle interaction laws; short- and long-range interactions; self-similar designs

Autoři

MAŠEK, J.; VOŘECHOVSKÝ, M.

Vydáno

6. 7. 2017

Nakladatel

De Gruyter

ISSN

1213-1962

Periodikum

Sborník vědeckých prací Vysoké školy báňské – Technické univerzity Ostrava

Ročník

17

Číslo

1

Stát

Česká republika

Strany od

137

Strany do

146

Strany počet

10

URL

BibTex

@article{BUT137680,
  author="Jan {Mašek} and Miroslav {Vořechovský}",
  title="On influence of interaction laws of dynamical particle system for sampling optimization",
  journal="Sborník vědeckých prací Vysoké školy báňské – Technické univerzity Ostrava",
  year="2017",
  volume="17",
  number="1",
  pages="137--146",
  doi="10.1515/tvsb-2017-0016",
  issn="1213-1962",
  url="http://www.degruyter.com/view/j/tvsb.2017.17.issue-1/tvsb-2017-0016/tvsb-2017-0016.xml?format=INT"
}