2021
DOI: 10.1137/20m1353228
|View full text |Cite
|
Sign up to set email alerts
|

Distance-Sparsity Transference for Vertices of Corner Polyhedra

Abstract: We obtain a transference bound for vertices of corner polyhedra that connects two well-established areas of research: proximity and sparsity of solutions to integer programs. In the knapsack scenario, it implies that for any vertex x * of an integer feasible knapsack polytope P (a, b) = {x ∈ R n ≥0 : a ⊤ x = b}, a ∈ Z n >0 , there exists an integer point z * ∈ P (a, b) such that, denoting by s the size of the support of z * and assuming s > 0,where • ∞ stands for the ℓ∞-norm. The bound gives an exponential in … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
5
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
3
2
2

Relationship

3
4

Authors

Journals

citations
Cited by 7 publications
(5 citation statements)
references
References 14 publications
0
5
0
Order By: Relevance
“…Recall that Λ denotes the affine lattice in R m+1 containing all integer points which satisfy Ax = b. In particular, its projection π(Λ) is a one-dimensional affine lattice which, in light of [1,Lemma 10], has determinant…”
Section: Proof Of Theoremmentioning
confidence: 99%
See 1 more Smart Citation
“…Recall that Λ denotes the affine lattice in R m+1 containing all integer points which satisfy Ax = b. In particular, its projection π(Λ) is a one-dimensional affine lattice which, in light of [1,Lemma 10], has determinant…”
Section: Proof Of Theoremmentioning
confidence: 99%
“…We will estimate the ℓ ∞ -distance from a vertex x * of the polyhedron P , which is given by a basis γ as in (1), to the set of its (feasible) lattice points z ∈ P ∩ Z n . It is worth noting that bounds of this form provide information regarding the level of accuracy when one "relaxes" an integer program (IP) and instead solves the related linear program (LP).…”
mentioning
confidence: 99%
“…. , J r be a sequence of feasible bases of this system, with corresponding basic feasible solutions 0 = y (0) , y (1) , . .…”
Section: Proof (Of Theorem 4 When D = 3) By Lemma 1 We May Assumementioning
confidence: 99%
“…Further, recall that S (x * ) ⊆ P. Let N := λ 1 + • • • + λ t . We choose a sequence 0 = x (0) , x (1) , . .…”
Section: Proof (Of Theorem 4 When D = 3) By Lemma 1 We May Assumementioning
confidence: 99%
See 1 more Smart Citation