2023
DOI: 10.1007/s10107-023-01967-z
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Total dual dyadicness and dyadic generating sets

Abstract: A vector is dyadic if each of its entries is a dyadic rational number, i.e. of the form a 2 k for some integers a, k with k ≥ 0. A linear system Ax ≤ b with integral data is totally dual dyadic if whenever min{b ⊺ y ∶ A ⊺ y = w, y ≥ 0} for w integral, has an optimal solution, it has a dyadic optimal solution. In this paper, we study total dual dyadicness, and give a co-NP characterization of it in terms of dyadic generating sets for cones and subspaces, the former being the dyadic analogue of Hilbert bases, an… Show more

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Cited by 1 publication
(9 citation statements)
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“…Ax = 0, and for each i ∈ [n], we have q i | xi , so if xi = 0 then xi has a prime factor greater than or equal to p k+1 . Thus the 1-by-n matrix A satisfies the conclusion of Lemma 5.4 (1).…”
Section: It Can Be Readily Checked That For Any Integral Solution X Tomentioning
confidence: 70%
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“…Ax = 0, and for each i ∈ [n], we have q i | xi , so if xi = 0 then xi has a prime factor greater than or equal to p k+1 . Thus the 1-by-n matrix A satisfies the conclusion of Lemma 5.4 (1).…”
Section: It Can Be Readily Checked That For Any Integral Solution X Tomentioning
confidence: 70%
“…In Section 4, we focus on the size of the denominators of a solution to a feasible dyadic linear program. In particular, we show that if Ax ≤ b, x dyadic is feasible, where A ∈ Z m×n and b ∈ Z m , then there exists a 1 2 k -integral solution, where k ≤ log 2 n + (2n + 1) log 2 ( A ∞ √ n + 1) . Here A ∞ denotes the largest absolute value of an entry in A.…”
Section: Introductionmentioning
confidence: 95%
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