Study of multiscale global optimization based on parameter space partition

摘要：

　　Inverse problem in geophysics is usually described as data misfit minimization, which has difficulties such as multi-parameters, nonlinearity and ill-posedness. Local optimization based on function gradient can not guarantee to find out globally optimal solutions, unless a starting point is sufficiently close to the solution. Some global optimization methods based on stochastic searching mechanism converge in the limit to a globally optimal solution with probability 1.

关键词： inverse problem multiscale parameter space partition seed-growth method deterministic method

作者: Weitao Sun

作者单位: Zhou Pei-Yuan Center for Applied Mathematics,Tsinghua University,Beijing 100084,China

会议类型: 国际会议

会议名称: 第13届国际断裂大会(ICF2013)

会议地点: 北京

会议语种:英文

页码: 1-1

在线出版日期: 2013-06-16（万方平台首次上网日期，不代表论文的发表时间）