2022/05/06 by Mithilesh Singh, Singh, Mithilesh Kumar, Shyam Saurabh +1
Decision Sciences · Engineering · #62K10 #Combinatorics (math.CO) #FOS: Mathematics #Optimal Experimental Design Methods #graph theory and CDMA systems
paper · pdf · doi:10.48550/arxiv.2205.03211
openalex publication_date 2022/05/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Rectangular designs are classified as regular, Latin regular, semiregular, Latin semiregular and singular designs. Some series of selfdual as well as alpharesolvable designs are obtained using matrix approaches which belong to the above classes. In every construction we obtain a matrix N whose blocks are square (0,1) matrices such that N becomes the incidence matrix of a rectangular design. The method is the reverse of the well known tactical decomposition of the incidence matrix of a known design. Authors have already obtained some series of Group Divisible and Latin square designs using this method. Tactical decomposable designs are of great interest because of their connections with automorphisms of designs, see Bekar et al. (1982). The rectangular designs constructed here are of statistical as well as combinatorial interest.