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显著图引导下基于偏互信息的医学图像配准
  • ISSN号：0254-3087
  • 期刊名称：仪器仪表学报
  • 时间：2013.6.15
  • 页码：19-26
  • 分类：O357.1[理学—流体力学;理学—力学] TN401[电子电信—微电子学与固体电子学]
  • 作者机构：[1]School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, P. R.China, [2]Key Lab of Numer. Simulation of Sichuan Province Univ., Neijiang Normal University, Neijiang, Sichuan, 641112, PR, China
  • 相关基金：ACKNOWLEDGMENT This research was supported by NSFC （61170311）, Chinese Universities Specialized Research Fund for the Doctoral Program （20110185110020）, Sichuan Province Sci.／＆ Tech. Research Project （12ZC 1802） and the Fundamental Research Funds for the Central Universities.
  • 相关项目：数字图像复原大规模问题的高性能算法研究
作者： 余时伟|黄廷祝|刘晓云|陈武凡|
关键词： 不可压缩NAVIER-STOKES方程, 预处理器, 参数化, 鞍点问题, 算例分析, 特征值, 分裂, 矩阵, Saddle Point Problem, Navier-Stokes Equations, Sherman-Morrison-Woodbury Formula
中文摘要：

Weihua Luo was born in Hunan province in 1982. PhD in School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu. The author＇s major field is numerical algebra and scientific computation.He once worked as a teacher in Neijiangnormal university in Sichuan province. So far, he has publishedtwo papers in Applied Mathematics and Computation, Journal of Applied Mathematics. Nowadays, he is being interested in preconditioning techniques for large sparse linear systems. Tingzhu Huang was born in Sichuan province in 1964. Doctoral supervisor in School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu. His major field is numerical algebra and scientific computation.

同期刊论文项目
数字图像复原大规模问题的高性能算法研究
期刊论文 68 会议论文 1
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期刊信息
  • 《仪器仪表学报》
  • 中国科技核心期刊
  • 主管单位:中国科学技术协会
  • 主办单位:中国仪器仪表学会
  • 主编：张钟华
  • 地址：北京东城区北河沿大街79号
  • 邮编：100009
  • 邮箱：yqyb@vip.163.com
  • 电话：010-84050563
  • 国际标准刊号：ISSN：0254-3087
  • 国内统一刊号：ISSN：11-2179/TH
  • 邮发代号:2-369
  • 获奖情况:
  • 1983年评为机械部科技进步三等奖,1997年评为中国科协优秀科技期刊三等奖
  • 国内外数据库收录:
  • 美国化学文摘（网络版）,荷兰文摘与引文数据库,美国工程索引,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）,英国英国皇家化学学会文摘,中国北大核心期刊（2000版）
  • 被引量:42481