2022
Characterization of Matrices with Bounded Graver Bases and Depth Parameters and Applications to Integer Programming
BRIAŃSKI, Marcin, Martin KOUTECKÝ, Daniel KRÁĽ, Kristýna PEKÁRKOVÁ, Felix SCHRÖDER et. al.Základní údaje
Originální název
Characterization of Matrices with Bounded Graver Bases and Depth Parameters and Applications to Integer Programming
Autoři
BRIAŃSKI, Marcin (616 Polsko), Martin KOUTECKÝ (203 Česká republika), Daniel KRÁĽ (203 Česká republika, garant, domácí), Kristýna PEKÁRKOVÁ (203 Česká republika, domácí) a Felix SCHRÖDER (276 Německo)
Vydání
Dagstuhl, Germany, Proceedings of the 49th International Colloquium on Automata, Languages, and Programming (ICALP 2022), od s. "29:1"-"29:20", 20 s. 2022
Nakladatel
Schloss Dagstuhl – Leibniz-Zentrum für Informatik
Další údaje
Jazyk
angličtina
Typ výsledku
Stať ve sborníku
Obor
10201 Computer sciences, information science, bioinformatics
Stát vydavatele
Německo
Utajení
není předmětem státního či obchodního tajemství
Forma vydání
elektronická verze "online"
Kód RIV
RIV/00216224:14330/22:00126328
Organizační jednotka
Fakulta informatiky
ISBN
978-3-95977-235-8
ISSN
Klíčová slova anglicky
integer programming; width parameters; matroids; Graver basis; tree-depth; fixed parameter tractability
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 13. 1. 2023 09:41, prof. RNDr. Daniel Kráľ, Ph.D., DSc.
Anotace
V originále
An intensive line of research on fixed parameter tractability of integer programming is focused on exploiting the relation between the sparsity of a constraint matrix A and the norm of the elements of its Graver basis. In particular, integer programming is fixed parameter tractable when parameterized by the primal tree-depth and the entry complexity of A, and when parameterized by the dual tree-depth and the entry complexity of A; both these parameterization imply that A is sparse, in particular, the number of its non-zero entries is linear in the number of columns or rows, respectively. We study preconditioners transforming a given matrix to an equivalent sparse matrix if it exists and provide structural results characterizing the existence of a sparse equivalent matrix in terms of the structural properties of the associated column matroid. In particular, our results imply that the 𝓁₁-norm of the Graver basis is bounded by a function of the maximum 𝓁₁-norm of a circuit of A. We use our results to design a parameterized algorithm that constructs a matrix equivalent to an input matrix A that has small primal/dual tree-depth and entry complexity if such an equivalent matrix exists. Our results yield parameterized algorithms for integer programming when parameterized by the 𝓁₁-norm of the Graver basis of the constraint matrix, when parameterized by the 𝓁₁-norm of the circuits of the constraint matrix, when parameterized by the smallest primal tree-depth and entry complexity of a matrix equivalent to the constraint matrix, and when parameterized by the smallest dual tree-depth and entry complexity of a matrix equivalent to the constraint matrix.
Návaznosti
MUNI/A/1145/2021, interní kód MU |
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MUNI/A/1230/2021, interní kód MU |
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MUNI/I/1677/2018, interní kód MU |
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