The Minimum Cost Query Problem on Matroids with Uncertainty Areas

Authors Arturo I. Merino , José A. Soto



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Author Details

Arturo I. Merino
  • Dept. of Mathematical Engineering and CMM, Universidad de Chile & UMI-CNRS 2807, Santiago, Chile
José A. Soto
  • Dept. of Mathematical Engineering and CMM, Universidad de Chile & UMI-CNRS 2807, Santiago, Chile

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Arturo I. Merino and José A. Soto. The Minimum Cost Query Problem on Matroids with Uncertainty Areas. In 46th International Colloquium on Automata, Languages, and Programming (ICALP 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 132, pp. 83:1-83:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)
https://doi.org/10.4230/LIPIcs.ICALP.2019.83

Abstract

We study the minimum weight basis problem on matroid when elements' weights are uncertain. For each element we only know a set of possible values (an uncertainty area) that contains its real weight. In some cases there exist bases that are uniformly optimal, that is, they are minimum weight bases for every possible weight function obeying the uncertainty areas. In other cases, computing such a basis is not possible unless we perform some queries for the exact value of some elements. Our main result is a polynomial time algorithm for the following problem. Given a matroid with uncertainty areas and a query cost function on its elements, find the set of elements of minimum total cost that we need to simultaneously query such that, no matter their revelation, the resulting instance admits a uniformly optimal base. We also provide combinatorial characterizations of all uniformly optimal bases, when one exists; and of all sets of queries that can be performed so that after revealing the corresponding weights the resulting instance admits a uniformly optimal base.

Subject Classification

ACM Subject Classification
  • Mathematics of computing → Matroids and greedoids
Keywords
  • Minimum spanning tree
  • matroids
  • uncertainty
  • queries

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