<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Uniform multi-dimensional designs of experiments for effective research in computer modelling are highly demanded. The combinations of several one-dimensional quasi-random sequences with a uniform distribution are used to create designs with high homogeneity, but their optimal choice is a separate problem, the solution of which is not trivial. It is believed that now the best results are achieved using Sobol’s LPτ-sequences, but this is not observed in all cases of their combinations. The authors proposed the creation of effective uniform designs with guaranteed acceptably low discrepancy using recursive Rd-sequences and not requiring additional research to find successful combinations of vectors set distributed in a single hypercube. The authors performed a comparative analysis of both approaches using indicators of centred and wrap-around discrepancies, graphical visualization based on Voronoi diagrams. The conclusion was drawn on the practical use of the proposed approach in cases where the requirements for the designs allowed restricting to its not ideal but close to it variant with low discrepancy, which was obtained automatically without additional research.</p></abstract>

Uniform multi-dimensional designs of experiments for effective research in computer modelling are highly demanded. The combinations of several one-dimensional quasi-random sequences with a uniform distribution are used to create designs with high homogeneity, but their optimal choice is a separate problem, the solution of which is not trivial. It is believed that now the best results are achieved using Sobol’s LPτ-sequences, but this is not observed in all cases of their combinations. The authors proposed the creation of effective uniform designs with guaranteed acceptably low discrepancy using recursive Rd-sequences and not requiring additional research to find successful combinations of vectors set distributed in a single hypercube. The authors performed a comparative analysis of both approaches using indicators of centred and wrap-around discrepancies, graphical visualization based on Voronoi diagrams. The conclusion was drawn on the practical use of the proposed approach in cases where the requirements for the designs allowed restricting to its not ideal but close to it variant with low discrepancy, which was obtained automatically without additional research.

The Construction of Effective Multi-Dimensional Computer Designs of Experiments Based on a Quasi-Random Additive Recursive R<sub>d</sub>-sequence

Applied Computer Systems

This work is licensed under the Creative Commons Attribution 4.0 Public License.

The Construction of Effective Multi-Dimensional Computer Designs of Experiments Based on a Quasi-Random Additive Recursive R-sequence

Uniform multi-dimensional designs of experiments for effective research in computer modelling are highly demanded. The combinations of several one-dimensional...

The Construction of Effective Multi-Dimensional Computer Designs of Experiments Based on a Quasi-Random Additive Recursive R_d-sequence

Pubblicato online: 05 giu 2020

Pagine: 70 - 76

DOI: https://doi.org/10.2478/acss-2020-0009

Parole chiave
Computer designs of the experiment, generalized discrepancy, LP-sequence, parameterless additive recursive Rd-sequences, quasi-random expanding sequences, uniformity of distribution, Voronoi diagrams

© 2020 Volodymyr Halchenko et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 Public License.

The Construction of Effective Multi-Dimensional Computer Designs of Experiments Based on a Quasi-Random Additive Recursive Rd-sequence

Pubblicato online: 05 giu 2020

Pagine: 70 - 76

DOI: https://doi.org/10.2478/acss-2020-0009

Parole chiaveComputer designs of the experiment, generalized discrepancy, LP-sequence, parameterless additive recursive Rd-sequences, quasi-random expanding sequences, uniformity of distribution, Voronoi diagrams

© 2020 Volodymyr Halchenko et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 Public License.

The Construction of Effective Multi-Dimensional Computer Designs of Experiments Based on a Quasi-Random Additive Recursive R_d-sequence

Parole chiave
Computer designs of the experiment, generalized discrepancy, LP-sequence, parameterless additive recursive Rd-sequences, quasi-random expanding sequences, uniformity of distribution, Voronoi diagrams