2020
DOI: 10.48550/arxiv.2002.11437
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Consensus-Halving: Does It Ever Get Easier?

Abstract: In the ε-Consensus-Halving problem, a fundamental problem in fair division, there are n agents with valuations over the interval [0, 1], and the goal is to divide the interval into pieces and assign a label "+" or "−" to each piece, such that every agent values the total amount of "+" and the total amount of "−" almost equally. The problem was recently proven by Goldberg [2018, 2019] to be the first "natural" complete problem for the computational class PPA, answering a decade-old open question.In this paper… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2020
2020

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 18 publications
0
1
0
Order By: Relevance
“…It is worth noting that this algorithm can be implemented online and does not require any assumption on the behavior of the measure functions µ i . In [17], Filos-Ratsikas et al provide an efficient algorithm for the case k = 2 that gives both agents at least 1 4 of each measure, under the assumption that each one of the measures is uniform in some subinterval of [0, 1] and is 0 on the rest of [0, 1]. The next result deals with online algorithms.…”
Section: Our Contributionmentioning
confidence: 99%
“…It is worth noting that this algorithm can be implemented online and does not require any assumption on the behavior of the measure functions µ i . In [17], Filos-Ratsikas et al provide an efficient algorithm for the case k = 2 that gives both agents at least 1 4 of each measure, under the assumption that each one of the measures is uniform in some subinterval of [0, 1] and is 0 on the rest of [0, 1]. The next result deals with online algorithms.…”
Section: Our Contributionmentioning
confidence: 99%