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集成电路学院光刻技术研讨会
大自然启发的表面物联网
基于表面“中心-环境”特征模型的机器学习材料设计:从钙钛矿OER到纳米碳生长
学堂班系列讲座:“基于微流控芯片的肿瘤液体活检新方法”
报告题目:
Equilibrium problems under Uncertainty*
 报告人:
Masao Fukushima教授,Kyoto University,Kyoto,Japan*
报告时间:
2006-05-23 14:00
报告地点:
理科楼数学科学系1304室
主办单位:
方述诚讲席教授组Distinguished Lecture Series学术报告*
  简介:
We consider the stochastic linear complementarity problem (SLCP)
involving random data. In particular, we are
interested in the expected residual minimization (ERM) formulation for
the classes of SLCPs called the stochastic
R_0 matrix LCP and the monotone SLCP. We discuss conditions under which
the ERM formulation of an SLCP has a
nonempty and bounded solution set. We also give error bounds for the
stochastic R_0 matrix LCP and the
monotone LCP. Some numerical examples are given to illustrate the
characteristics of the
solutions of the ERM formulation.
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