2014
DOI: 10.1007/s10623-014-0001-2
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The completion determination of optimal $$(3,4)$$ ( 3 , 4 ) -packings

Abstract: A 3-(n, 4, 1) packing design consists of an n-element set X and a collection of 4-element subsets of X, called blocks, such that every 3-element subset of X is contained in at most one block. The packing number of quadruples d(3, 4, n) denotes the number of blocks in a maximum 3-(n, 4, 1) packing design, which is also the maximum number A(n, 4, 4) of codewords in a code of length n, constant weight 4, and minimum Hamming distance 4. In this paper the undecided 21 packing numbers A(n, 4, 4) are shown to be equa… Show more

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Cited by 20 publications
(36 citation statements)
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“…Let n = (n), then a 3-(n, k, 1) generalized packing design is indeed a 3-(n, 4, 1) packing, for which the determination of packing numbers D(n, 4, 3) has been completed by Bao and Ji in [19]. Hence, we have the following result.…”
Section: Case 1: K = (4)mentioning
confidence: 89%
“…Let n = (n), then a 3-(n, k, 1) generalized packing design is indeed a 3-(n, 4, 1) packing, for which the determination of packing numbers D(n, 4, 3) has been completed by Bao and Ji in [19]. Hence, we have the following result.…”
Section: Case 1: K = (4)mentioning
confidence: 89%
“…Given t, k, and l, the determination of the packing number D(l, k, t), the maximum size of a t-(l, k, 1) packing, constitutes a central problem in combinatorial design theory, as well as in coding theory [13]. When k = 4 and t = 3, the value of D(l, 4, 3) has been completely determined by constructive methods, see [14,15,16,17], and it achieves the well known Johnson bound given below:…”
Section: Case 2: T Is Evenmentioning
confidence: 99%
“…{(0, 0), (0, 1), (0, 11), (0, 6)}, {(0, 0), (1, 1), (2,11), (0, 6)}, {(0, 0), (1,3), (2,9), (0, 6)}, {(0, 0), (1,5), (2,7), (0, 6)}, {(0, 0), (0, 1), (0, 3), (0, 4)}, {(0, 0), (0, 1), (0, 5), (0, 8)}, {(0, 0), (0, 1), (1, 0), (1, 1)}, {(0, 0), (0, 1), (1,2), (1, 3)}, {(0, 0), (0, 1), (1,4), (1,5)}, {(0, 0), (0, 1), (1,6), (1, 7)}, {(0, 0), (0, 1), (1,8), (1,9)}, {(0, 0), (0, 1), (1,10), (1,11)}, {(0, 0), (0, 2), (0, 5), (1, 0)}, {(0, 0), (0, 10), (0, 7), (2, 0)}, {(0, 0), (0, 2), (0, 6), (1, 2)}, {(0, 0), (0, 10), (0, 6), (2, 10)}, {(0, 0), (0, 2), (1, 1), (1, 3)}, {(0, 0), (0, 2), (1,4), (1,6)}, {(0, 0), (0, 2), (1,5), (1,7)}, {(0, 0), (0, 2), (1,8), (1,10)}, {(0, 0), (0, 2), (1,9), (1,11) Proof Start with a strictly Z m × Z 2 ǫ ·3n -invariant G * (m, 2 ε · 3n, 4, 3) design relative to {0} × Z 2 ǫ ·3n , ǫ ∈ {1, 2}, which exists from the proof of Theorem 6.5. Applying Construction 4.2 gives a strictly Z 3m × Z 2 ǫ ·3n -invariant G * (m, 2 ε · 9n, 4, 3) design relative to mZ 3m × Z 2 ǫ ·3n .…”
Section: Remarkmentioning
confidence: 99%
“…Construct a strictly semi-cyclic G(2,8,4, 3) design on {0, 1} × Z 8 with groups {i} × Z 8 , i ∈ {0, 1}, whose set F of base blocks consists of the following:{(0, 0), (0, 1), (1, 0), (1, 1)}, {(0, 0), (0, 1),(1,2),(1,4)}, {(0, 0), (0, 1),(1,3), (1, 7)}, {(0, 0), (0, 1),(1,5),(1,6)}, {(0, 0), (0, 2), (1, 0), (1, 2)}, {(0, 0), (0, 2), (1, 1),(1,6)}, {(0, 0), (0, 2), (1, 3), (1, 4)}, {(0, 0), (0, 2), (1, 5), (1, 7)}, {(0, 0), (0, 3), (1, 0), (1, 4)}, {(0, 0), (0, 3), (1, 1), (1, 7)}, {(0, 0), (0, 3), (1, 2), (1, 5)}, {(0, 0), (0, 3), (1, 3), (1, 6)}, {(0, 0), (0, 4), (1, 0), (1, 5)}, {(0, 0), (0, 4), (1, 2), (1, 3)}.Then D ∪ F is the set of base blocks of a strictlyZ 4 × Z 8 -invariant G(2, 16, 4, 3) design with groups {i, i + 2} × Z 8 , 0 ≤ i < 2.Since there is a (2, 8, 4, 2)-OOSPC with J(2, 8, 4, 2) codewords from[45], there is a strictly Z 2 ×Z 8invariant P QS(16)with J(2, 8, 4, 2) base blocks by Theorem 2.1. By Construction 3.3, there is a strictly Z 4 ×Z 8 -invariant P QS(32) with J(4, 8, 4, 2) base blocks, which leads to an optimal (4, 8, 4, 2)-OOSPC with the size meeting the upper bound (1.1) by Theorem 2.1.…”
mentioning
confidence: 99%