A Mathematical Analysis of New L-curve to Estimate the Parameters of Regularization in TSVD Method
A new technique to find the optimization parameter in TSVD regularization method is based on a curve which is drawn against the residual norm [5]. Since the TSVD regularization is a method with discrete regularization parameter, then the above-mentioned curve is also discrete. In this paper we prese...
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Kharazmi University
2015-07-01
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Online Access: | http://mmr.khu.ac.ir/article-1-2530-en.html |
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author | A.R. Keshvari S.M Hosseni |
author_facet | A.R. Keshvari S.M Hosseni |
author_sort | A.R. Keshvari |
collection | DOAJ |
description | A new technique to find the optimization parameter in TSVD regularization method is based on a curve which is drawn against the residual norm [5]. Since the TSVD regularization is a method with discrete regularization parameter, then the above-mentioned curve is also discrete. In this paper we present a mathematical analysis of this curve, showing that the curve has L-shaped path very similar to that of the classical L-curve and its corner point can represent the optimization regularization parameter very well. In order to find the corner point of the L-curve (optimization parameter), two methods are applied: pruning and triangle. Numerical results show that in the considered test problems the new curve is better than the classical L-curve. |
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id | doaj.art-86d4327519de4f348fe4dd6e018c1428 |
institution | Directory Open Access Journal |
issn | 2588-2546 2588-2554 |
language | fas |
last_indexed | 2024-04-10T00:47:21Z |
publishDate | 2015-07-01 |
publisher | Kharazmi University |
record_format | Article |
series | پژوهشهای ریاضی |
spelling | doaj.art-86d4327519de4f348fe4dd6e018c14282023-03-13T19:17:56ZfasKharazmi Universityپژوهشهای ریاضی2588-25462588-25542015-07-01117584A Mathematical Analysis of New L-curve to Estimate the Parameters of Regularization in TSVD MethodA.R. Keshvari0S.M Hosseni1 Department of Mathematical Sciences, Sistan and Baluchestan University Department of Mathematical Sciences, Sistan and Baluchestan University A new technique to find the optimization parameter in TSVD regularization method is based on a curve which is drawn against the residual norm [5]. Since the TSVD regularization is a method with discrete regularization parameter, then the above-mentioned curve is also discrete. In this paper we present a mathematical analysis of this curve, showing that the curve has L-shaped path very similar to that of the classical L-curve and its corner point can represent the optimization regularization parameter very well. In order to find the corner point of the L-curve (optimization parameter), two methods are applied: pruning and triangle. Numerical results show that in the considered test problems the new curve is better than the classical L-curve.http://mmr.khu.ac.ir/article-1-2530-en.htmltsvd regularizationdiscrete l-curvenew l-curve |
spellingShingle | A.R. Keshvari S.M Hosseni A Mathematical Analysis of New L-curve to Estimate the Parameters of Regularization in TSVD Method پژوهشهای ریاضی tsvd regularization discrete l-curve new l-curve |
title | A Mathematical Analysis of New L-curve to Estimate the Parameters of Regularization in TSVD Method |
title_full | A Mathematical Analysis of New L-curve to Estimate the Parameters of Regularization in TSVD Method |
title_fullStr | A Mathematical Analysis of New L-curve to Estimate the Parameters of Regularization in TSVD Method |
title_full_unstemmed | A Mathematical Analysis of New L-curve to Estimate the Parameters of Regularization in TSVD Method |
title_short | A Mathematical Analysis of New L-curve to Estimate the Parameters of Regularization in TSVD Method |
title_sort | mathematical analysis of new l curve to estimate the parameters of regularization in tsvd method |
topic | tsvd regularization discrete l-curve new l-curve |
url | http://mmr.khu.ac.ir/article-1-2530-en.html |
work_keys_str_mv | AT arkeshvari amathematicalanalysisofnewlcurvetoestimatetheparametersofregularizationintsvdmethod AT smhosseni amathematicalanalysisofnewlcurvetoestimatetheparametersofregularizationintsvdmethod AT arkeshvari mathematicalanalysisofnewlcurvetoestimatetheparametersofregularizationintsvdmethod AT smhosseni mathematicalanalysisofnewlcurvetoestimatetheparametersofregularizationintsvdmethod |