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基于人工智能技术的海洋遥感研究
世纪物理情系列讲座(第24讲):高能核核碰撞和夸克胶子等离子体
Fluid-induced deformation of porous materials: Applications tocement-based ma...
【低维量子物理国家重点实验室杰出学者讲座】原子尺度的极化子操控研究
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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