Stochastic Submodular Maximization

被引：0

作者：

Asadpour, Arash ^{[1
]}

Nazerzadeh, Hamid ^{[1
]}

Saberi, Amin ^{[1
]}

机构：

[1] Stanford Univ, Stanford, CA 94305 USA

来源：

INTERNET AND NETWORK ECONOMICS, PROCEEDINGS | 2008年 / 5385卷

关键词：

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

We study stochastic submodular maximization problem with respect to a cardinality constraint. Our model can capture the effect of uncertainty in different, problems, such as cascade effects in social networks, capital budgeting sensor placement, etc. We study non-adaptive and adaptive policies and give optimum constant approximation algorithms for both cases. We also bound the adaptivity gap of the problem between 1.21 and 1.59.

引用

页码：477 / 489

页数：13

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