.png){kind=icon}
返回
Dynamic regularization of input estimation problems by explicit block inversion
.png){kind=icon}
PRE
AI
DOI：10.1016/j.cma.2005.08.017.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Input estimation problems in structural dynamics often lead to solving damped least squares problems. Explicit block inversion algorithms are developed to invert the associated upper block triangular Toeplitz matrix. Moreover, the derived inversion algorithms enable the introduction of a new type of sequential regularization technique. For optimal regularization parameters, it is demonstrated by a numerical example that the solution using the proposed regularization technique has an upper bound equal to zeroth-order Tikhonov regularization. (c) 2006 Elsevier B.V. All rights reserved.
Keyword:
input estimation
explicit block inversion
Tikhonov regularization
sequential regularization
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.3
论文数:
1.3W
被引数:
5.6W
机构
暂无机构信息
引用论文
Advances in Nanoparticle-based Delivery of Next Generation Peptide Nucleic Acids基于纳米颗粒的下一代肽核酸递送研究进展
PREAI
分享收藏Deadly Gun Violence, Neighborhood Collective Efficacy, and Adolescent Neurobehavioral Outcomes.png)
OAAI
IF0
OAAI分享收藏分享收藏
查看更多内容