Approximating Long Cycle Above Dirac's Guarantee

May 03, 2023 Β· Declared Dead Β· πŸ› Algorithmica

πŸ‘» CAUSE OF DEATH: Ghosted
No code link whatsoever

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

Authors Fedor F. Fomin, Petr A. Golovach, Danil Sagunov, Kirill Simonov arXiv ID 2305.02011 Category cs.DS: Data Structures & Algorithms Cross-listed cs.DM Citations 2 Venue Algorithmica Last Checked 4 months ago
Abstract
Parameterization above (or below) a guarantee is a successful concept in parameterized algorithms. The idea is that many computational problems admit ``natural'' guarantees bringing to algorithmic questions whether a better solution (above the guarantee) could be obtained efficiently. The above guarantee paradigm has led to several exciting discoveries in the areas of parameterized algorithms and kernelization. We argue that this paradigm could bring forth fresh perspectives on well-studied problems in approximation algorithms. Our example is the longest cycle problem. One of the oldest results in extremal combinatorics is the celebrated Dirac's theorem from 1952. Dirac's theorem provides the following guarantee on the length of the longest cycle: for every 2-connected n-vertex graph G with minimum degree Ξ΄(G)\leq n/2, the length of a longest cycle L is at least 2Ξ΄(G). Thus, the ``essential'' part in finding the longest cycle is in approximating the ``offset'' k = L - 2 Ξ΄(G). The main result of this paper is the above-guarantee approximation theorem for k. Informally, the theorem says that approximating the offset k is not harder than approximating the total length L of a cycle. In other words, for any (reasonably well-behaved) function f, a polynomial time algorithm constructing a cycle of length f(L) in an undirected graph with a cycle of length L, yields a polynomial time algorithm constructing a cycle of length 2Ξ΄(G)+Ξ©(f(k)).
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

πŸ“œ Similar Papers

In the same crypt β€” Data Structures & Algorithms

Died the same way β€” πŸ‘» Ghosted