{"title":"Fitting circular arcs by orthogonal distance regression","authors":"A. Atieg, G. A. Watson","doi":"10.1002/anac.200310006","DOIUrl":null,"url":null,"abstract":"<p>The problem is considered of fitting circular arcs to discrete data using orthogonal distance regression. This can be formulated as a constrained nonlinear least squares problem, and an efficient Gauss-Newton method is developed. (© 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)</p>","PeriodicalId":100108,"journal":{"name":"Applied Numerical Analysis & Computational Mathematics","volume":"1 1","pages":"66-76"},"PeriodicalIF":0.0000,"publicationDate":"2004-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/anac.200310006","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Numerical Analysis & Computational Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/anac.200310006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
The problem is considered of fitting circular arcs to discrete data using orthogonal distance regression. This can be formulated as a constrained nonlinear least squares problem, and an efficient Gauss-Newton method is developed. (© 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)
用正交距离回归拟合圆弧
研究了用正交距离回归对离散数据拟合圆弧的问题。该问题可表述为约束非线性最小二乘问题，并提出了一种有效的高斯-牛顿方法。(©2004 WILEY-VCH Verlag GmbH &KGaA公司，Weinheim)
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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