Algorithms for Competitive Division of Chores

نویسندگان

چکیده

We study the problem of allocating divisible bads (chores) among multiple agents with additive utilities when monetary transfers are not allowed. The competitive rule is known for its remarkable fairness and efficiency properties in case goods. This was extended to chores by Bogomolnaia, Moulin, Sandomirskiy, Yanovskaya. For both goods chores, produces Pareto optimal envy-free allocations. In goods, outcome can be easily computed. Competitive allocations solve Eisenberg-Gale convex program; hence unique approximately found standard gradient methods. An exact algorithm that runs polynomial time number given Orlin. does any optimization problem; instead, correspond local minima, maxima, saddle points Nash social welfare on frontier set feasible utilities. may contain many such and, consequently, no longer unique. this paper, we show all outcomes computed strongly if either or fixed. approach based a combination three ideas: consumption graphs listed time; graph, candidate utility profile constructed via an explicit formula; each checked competitiveness allocation reconstructed using maximum flow computation. Our immediately gives approximately-fair indivisible rounding technique Barman Krishnamurthy. Funding: work supported National Science Foundation (CNS 1518941); Lady Davis Fellowship Trust, Hebrew University Jerusalem; H2020 European Research Council (740435); Linde Institute at Caltech.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Algorithms for Max-Min Share Fair Allocation of Indivisible Chores

We consider Max-min Share (MmS) fair allocations of indivisible chores (items with negative utilities). We show that allocation of chores and classical allocation of goods (items with positive utilities) have some fundamental connections but also differences which prevent a straightforward application of algorithms for goods in the chores setting and viceversa. We prove that an MmS allocation d...

متن کامل

Minimizing Loss of Information at Competitive PLIP Algorithms for Image Segmentation with Noisy Back Ground

In this paper, two training systems for selecting PLIP parameters have been demonstrated. The first compares the MSE of a high precision result to that of a lower precision approximation in order to minimize loss of information. The second uses EMEE scores to maximize visual appeal and further reduce information loss. It was shown that, in the general case of basic addition, subtraction, or mul...

متن کامل

Competitive Algorithms for Server Problems

The k-server problem is that of planning the motion of k mobile servers on the vertices of a graph under a sequence of requests for service. Each request consists of the name of a vertex, and is satisfied by placing a server at the requested vertex. The requests must be satisfied in their order of occurrence. The cost of satisfying a sequence of requests is the distance moved by the servers. In...

متن کامل

Competitive Algorithms for Online Pricing

Given a seller with m amount of items, a sequence of users {u1, u2, ...} come one by one, the seller must set the unit price and assign some amount of items to each user on his/her arrival. Items can be sold fractionally. Each ui has his/her value function vi(·) such that vi(x) is the highest unit price ui is willing to pay for x items. The objective is to maximize the revenue by setting the pr...

متن کامل

Division algorithms for Bernstein polynomials

Three division algorithms are presented for univariate Bernstein polynomials: an algorithm for finding the quotient and remainder of two univariate polynomials, an algorithm for calculating the GCD of an arbitrary collection of univariate polynomials, and an algorithm for computing a μ-basis for the syzygy module of an arbitrary collection of univariate polynomials. Division algorithms for mult...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Mathematics of Operations Research

سال: 2023

ISSN: ['0364-765X', '1526-5471']

DOI: https://doi.org/10.1287/moor.2023.1361