Multi-Resource Allocation: Fairness-Efficiency Tradeoffs in a Unifying Framework Carlee Joe-Wong∗ , Soumya Sen∗ , Tian Lan† , Mung Chiang∗ ∗ Department † Department

First Page		Document Content
Date: 2013-07-18 14:29:50 Routing algorithms Radio resource management Fair division Fairness measure Max-min fairness Mathematical optimization Envy-freeness Pareto efficiency Proportionally fair Scheduling		Multi-Resource Allocation: Fairness-Efficiency Tradeoffs in a Unifying Framework Carlee Joe-Wong∗ , Soumya Sen∗ , Tian Lan† , Mung Chiang∗ ∗ Department † Department Add to Reading List Source URL: www.tc.umn.edu Download Document from Source Website File Size: 522,79 KB Share Document on Facebook

	FAIR SOLUTIONS TO THE RANDOM ASSIGNMENT PROBLEM CHRISTIAN BASTECK Technische Universität Berlin Abstract. We study the problem of assigning indivisible goods to individuals where each is to receive one good. To guarant DocID: 1q5La - View Document
	Working Paper SeriesFAIR SOLUTIONS TO THE RANDOM ASSIGNMENT PROBLEM DocID: 1oN3D - View Document
	Multi-Resource Allocation: Fairness-Efficiency Tradeoffs in a Unifying Framework Carlee Joe-Wong∗ , Soumya Sen∗ , Tian Lan† , Mung Chiang∗ ∗ Department † Department DocID: 1l49J - View Document
	On the Complexity of Eﬃciency and Envy-Freeness in Fair Division of Indivisible Goods with Additive Preferences Bart de Keijzer1 , Sylvain Bouveret2 , Tomas Klos1 , and Yingqian Zhang1 1 Delft University of Technology DocID: IEzV - View Document