A parameterized view to the robust recoverable base problem of matroids under structural uncertainty

Takehiro Ito, Naonori Kakimura, Naoyuki Kamiyama, Yusuke Kobayashi, Yoshio Okamoto

Research output: Contribution to journalArticlepeer-review

Abstract

We study a robust recoverable version of the matroid base problem where the uncertainty is imposed on combinatorial structures rather than on weights as studied in the literature. We prove that the problem is NP-hard even when a given matroid is uniform or graphic. On the other hand, we prove that the problem is fixed-parameter tractable with respect to the number of scenarios.

Original languageEnglish
Pages (from-to)370-375
Number of pages6
JournalOperations Research Letters
Volume50
Issue number3
DOIs
Publication statusPublished - May 2022

All Science Journal Classification (ASJC) codes

  • Software
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering
  • Applied Mathematics

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