版权所有:内蒙古大学图书馆 技术提供:维普资讯• 智图
内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
T=题名(书名、题名),A=作者(责任者),K=主题词,P=出版物名称,PU=出版社名称,O=机构(作者单位、学位授予单位、专利申请人),L=中图分类号,C=学科分类号,U=全部字段,Y=年(出版发行年、学位年度、标准发布年)
AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
范例一:(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二:P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016
The field of “Data Assim.lation” has been driven by applications from.the geosciences where com.lex m.them.tical m.dels are interfaced with observational data in order to im.rove m.del forecasts. m.them.tically, data assim.lation is closely related to filtering and sm.othing on the one hand and inverse problem. and statistical inference on the other. Key challenges of data assim.lation arise from.the high-dim.nsionality of the underlying m.dels, com.ined with system.tic spatio-tem.oral m.del errors, pure m.del uncertainty quantification and relatively sparse observation networks. Advances in the field of data assim.lation will require com.ination of a broad range of m.them.tical techniques from.differential equations, statistics, m.chine learning, probability, scientific com.uting and m.them.tical m.deling, together with insights from.practitioners in the field. The workshop brought together a collection of scientists representing this broad spectrum.of research strands.
电话和邮箱必须正确填写,我们会与您联系确认。
版权所有:内蒙古大学图书馆 技术提供:维普资讯• 智图
内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
暂无评论