%0 Journal Article
%T A Rapid Optimization Algorithm for GPS Data Assimilation<br>GPS资料同化中一种快速优化算法
%A KUANG Zheng
%A WANG Bin
%A YANG Hualin
%A <br>KUANG Zheng
%A WANG Bin
%A YANG Hualin
%J 大气科学进展
%D 2003
%I 
%X Global Positioning System (GPS) meteorology data variational assimilation can be reduced to theproblem of a large-scale unconstrained optimization. Because the dimension of this problem is too large,most optimal algorithms cannot be performed. In order to make GPS/MET data assimilation able tosatisfy the demand of numerical weather prediction, finding an algorithm with a great convergence rateof iteration will be the most important thing. A new method is presented that dynamically combines thelimited memory BFGS (L-BFGS) method with the Hessian-free Newton(HFN) method, and it has a goodrate of convergence in iteration. The numerical tests indicate that the computational efficiency of themethod is better than the L-BFGS and HFN methods.
%K GPS data assimilation
%K L-BFGS method
%K HFN method
%K large-scale optimization<br>GPS资料同化
%K 快速优化算法
%K 无约束优化
%K 数值预报
%K 天气预报
%K L－BFGS方法
%K HFN方法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=28A2F569B2458C17&jid=5434AFBF6CB6E7E8D67733B541F211C7&aid=10DB7637964EF3E1FB5436FE5B710C28&yid=D43C4A19B2EE3C0A&vid=A04140E723CB732E&iid=38B194292C032A66&sid=B40AD8FE6FA88DE9&eid=5319469C819FCFF1&journal_id=0256-1530&journal_name=大气科学进展&referenced_num=0&reference_num=10