Construction of Balanced n-ary t-designs by Block Sum and Product (BSP) Methodology on 3-designs

In this paper we use 3-designs whose incidence matrix will take only binary values and constructed a series of balanced n-ary t-designs by using a tool Block Sum and Product (BSP) Methodology. The simple 3-(4, 3, 1) and 3-(5, 3, 1) designs are used as a parent 3-designs for the procedure. The parent 3-(4, 3, 1) design gives three new balanced n-ary t-designs and 3-(5, 3, 1) design gives twenty new balanced n-ary t-designs. We given incidence matrices and list out the parameters of newly constructed balanced and partially balanced n-ary t-designs.

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Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-03-24
DOI
https://doi.org/10.36948/ijfmr.2025.v07i02.39849
Primary Topic
Optimal Experimental Design Methods
Type
article
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article

Construction of Balanced n-ary t-designs by Block Sum and Product (BSP) Methodology on 3-designs

Ganesh S. Phad, Digambar Pawar, Digambar Uphade
International Journal For Multidisciplinary Research
Optimal Experimental Design Methods
article

Construction of Balanced n-ary t-designs by Block Sum and Product (BSP) Methodology on 3-designs

Ganesh S. Phad, Digambar Pawar, Digambar Uphade
article en

Abstract

In this paper we use 3-designs whose incidence matrix will take only binary values and constructed a series of balanced n-ary t-designs by using a tool Block Sum and Product (BSP) Methodology. The simple 3-(4, 3, 1) and 3-(5, 3, 1) designs are used as a parent 3-designs for the procedure. The parent 3-(4, 3, 1) design gives three new balanced n-ary t-designs and 3-(5, 3, 1) design gives twenty new balanced n-ary t-designs. We given incidence matrices and list out the parameters of newly constructed balanced and partially balanced n-ary t-designs.

International Journal For Multidisciplinary ResearchVol. 7(2)
Openalex Percentile: Top 94%
Optimal Experimental Design Methods
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