Unique (optimal) solutions: Complexity results for identifying and locating–dominating codes

Research output: Contribution to journalArticlepeer-review

Abstract

We investigate the complexity of four decision problems dealing with the uniqueness of a solution in a graph: “Uniqueness of an r-Locating–Dominating Code with bounded size” (U-LDC r ), “Uniqueness of an Optimal r-Locating–Dominating Code” (U-OLDC r ), “Uniqueness of an r-Identifying Code with bounded size” (U-IdC r ), “Uniqueness of an Optimal r-Identifying Code” (U-OIdC r ), for any fixed integer r≥1. In particular, we describe a polynomial reduction from “Unique Satisfiability of a Boolean formula” (U-SAT) to U-OLDC r , and from U-SAT to U-OIdC r ; for U-LDC r and U-IdC r , we can do even better and prove that their complexity is the same as that of U-SAT, up to polynomials. Consequently, all these problems are NP-hard, and U-LDC r and U-IdC r belong to the class DP.

Original languageEnglish
Pages (from-to)83-102
Number of pages20
JournalTheoretical Computer Science
Volume767
DOIs
Publication statusPublished - 3 May 2019
Externally publishedYes

Keywords

  • Complexity theory
  • Graph theory
  • Identifying codes
  • Locating–dominating codes
  • Polynomial reduction
  • Uniqueness of solution

Fingerprint

Dive into the research topics of 'Unique (optimal) solutions: Complexity results for identifying and locating–dominating codes'. Together they form a unique fingerprint.

Cite this