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Autores principales: Hunkenschröder, Christoph, Klein, Kim-Manuel, Koutecký, Martin, Lassota, Alexandra, Levin, Asaf
Formato: Preprint
Publicado: 2024
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Acceso en línea:https://arxiv.org/abs/2402.17290
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author Hunkenschröder, Christoph
Klein, Kim-Manuel
Koutecký, Martin
Lassota, Alexandra
Levin, Asaf
author_facet Hunkenschröder, Christoph
Klein, Kim-Manuel
Koutecký, Martin
Lassota, Alexandra
Levin, Asaf
contents We study fundamental block-structured integer programs called tree-fold and multi-stage IPs. Tree-fold IPs admit a constraint matrix with independent blocks linked together by few constraints in a recursive pattern; and transposing their constraint matrix yields multi-stage IPs. The state-of-the-art algorithms to solve these IPs have an exponential gap in their running times, making it natural to ask whether this gap is inherent. We answer this question affirmative. Assuming the Exponential Time Hypothesis, we prove lower bounds showing that the exponential difference is necessary, and that the known algorithms are near optimal. Moreover, we prove unconditional lower bounds on the norms of the Graver basis, a fundamental building block of all known algorithms to solve these IPs. This shows that none of the current approaches can be improved beyond this bound.
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id arxiv_https___arxiv_org_abs_2402_17290
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Tight Lower Bounds for Block-Structured Integer Programs
Hunkenschröder, Christoph
Klein, Kim-Manuel
Koutecký, Martin
Lassota, Alexandra
Levin, Asaf
Computational Complexity
We study fundamental block-structured integer programs called tree-fold and multi-stage IPs. Tree-fold IPs admit a constraint matrix with independent blocks linked together by few constraints in a recursive pattern; and transposing their constraint matrix yields multi-stage IPs. The state-of-the-art algorithms to solve these IPs have an exponential gap in their running times, making it natural to ask whether this gap is inherent. We answer this question affirmative. Assuming the Exponential Time Hypothesis, we prove lower bounds showing that the exponential difference is necessary, and that the known algorithms are near optimal. Moreover, we prove unconditional lower bounds on the norms of the Graver basis, a fundamental building block of all known algorithms to solve these IPs. This shows that none of the current approaches can be improved beyond this bound.
title Tight Lower Bounds for Block-Structured Integer Programs
topic Computational Complexity
url https://arxiv.org/abs/2402.17290