On-Line Algorithms for Market Equilibria
We consider a variation of the classical problem of finding prices which guarantee equilibrium in linear markets consisting of divisible goods and agents with money. Specifically, we consider on-line algorithms for this problem in which goods are considered online, and each good is assigned an irrevocable price. Since exact equilibria will not be found in such a setting, we appeal to the concept of approximate equilibrium defined in previous studies of the problem, to characterize the quality of our solutions. We consider both deterministic and randomized algorithms for finding approximate equilibria. We prove a tight bound on the performance of deterministic algorithms, and show that under certain natural conditions, randomized algorithms lead to market prices which are closer to equilibrium.
Spyros Angelopoulos Atish Das Sarma Avner Magen Anastasios Viglas
University of Waterloo IIT Bombay University of Toronto University of Sydney
国际会议
The 11th Annual International Computing and Combinatorics Conference COCOON 2005(第11届国际计算和组合会议)
昆明
英文
596-607
2005-08-01(万方平台首次上网日期,不代表论文的发表时间)