Newton type iteration for Tikhonov regularization of non-linear ill-posed Hammerstein type equations
Abstract An iterative method is investigated for a nonlinear ill-posed Hammerstein type operator equation KF(x)=f. We use a center-type Lipschitz condition in our convergence analysis instead of the usual Lipschitz condition. The adaptive method of Pereverzev and Schock (SIAM J. Numer. Anal. 43(5):2...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
George, Santhosh [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2013 |
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| Schlagwörter: |
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| Anmerkung: |
© Korean Society for Computational and Applied Mathematics 2013 |
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| Übergeordnetes Werk: |
Enthalten in: Journal of applied mathematics and computing - Berlin : Springer, 2006, 44(2013), 1-2 vom: 20. Apr., Seite 69-82 |
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| Übergeordnetes Werk: |
volume:44 ; year:2013 ; number:1-2 ; day:20 ; month:04 ; pages:69-82 |
| Links: |
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| DOI / URN: |
10.1007/s12190-013-0681-1 |
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| 100 | 1 | |a George, Santhosh |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Newton type iteration for Tikhonov regularization of non-linear ill-posed Hammerstein type equations |
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| 520 | |a Abstract An iterative method is investigated for a nonlinear ill-posed Hammerstein type operator equation KF(x)=f. We use a center-type Lipschitz condition in our convergence analysis instead of the usual Lipschitz condition. The adaptive method of Pereverzev and Schock (SIAM J. Numer. Anal. 43(5):2060–2076, 2005) is used for choosing the regularization parameter. The optimality of this method is proved under a general source condition involving the Fréchet derivative of F at some initial guess x0. A numerical example of nonlinear integral equation shows the efficiency of this procedure. | ||
| 650 | 4 | |a Gauss-Newton method |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Nonlinear ill-posed problems |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Hammerstein operators |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Tikhonov regularization |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Iterative regularization method |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Adaptive choice |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Shobha, Monnanda Erappa |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Journal of applied mathematics and computing |d Berlin : Springer, 2006 |g 44(2013), 1-2 vom: 20. Apr., Seite 69-82 |w (DE-627)565516833 |w (DE-600)2424171-4 |x 1865-2085 |7 nnns |
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10.1007/s12190-013-0681-1 doi (DE-627)SPR025153234 (SPR)s12190-013-0681-1-e DE-627 ger DE-627 rakwb eng George, Santhosh verfasserin aut Newton type iteration for Tikhonov regularization of non-linear ill-posed Hammerstein type equations 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Korean Society for Computational and Applied Mathematics 2013 Abstract An iterative method is investigated for a nonlinear ill-posed Hammerstein type operator equation KF(x)=f. We use a center-type Lipschitz condition in our convergence analysis instead of the usual Lipschitz condition. The adaptive method of Pereverzev and Schock (SIAM J. Numer. Anal. 43(5):2060–2076, 2005) is used for choosing the regularization parameter. The optimality of this method is proved under a general source condition involving the Fréchet derivative of F at some initial guess x0. A numerical example of nonlinear integral equation shows the efficiency of this procedure. Gauss-Newton method (dpeaa)DE-He213 Nonlinear ill-posed problems (dpeaa)DE-He213 Hammerstein operators (dpeaa)DE-He213 Tikhonov regularization (dpeaa)DE-He213 Iterative regularization method (dpeaa)DE-He213 Adaptive choice (dpeaa)DE-He213 Shobha, Monnanda Erappa aut Enthalten in Journal of applied mathematics and computing Berlin : Springer, 2006 44(2013), 1-2 vom: 20. Apr., Seite 69-82 (DE-627)565516833 (DE-600)2424171-4 1865-2085 nnns volume:44 year:2013 number:1-2 day:20 month:04 pages:69-82 https://dx.doi.org/10.1007/s12190-013-0681-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 44 2013 1-2 20 04 69-82 |
| spelling |
10.1007/s12190-013-0681-1 doi (DE-627)SPR025153234 (SPR)s12190-013-0681-1-e DE-627 ger DE-627 rakwb eng George, Santhosh verfasserin aut Newton type iteration for Tikhonov regularization of non-linear ill-posed Hammerstein type equations 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Korean Society for Computational and Applied Mathematics 2013 Abstract An iterative method is investigated for a nonlinear ill-posed Hammerstein type operator equation KF(x)=f. We use a center-type Lipschitz condition in our convergence analysis instead of the usual Lipschitz condition. The adaptive method of Pereverzev and Schock (SIAM J. Numer. Anal. 43(5):2060–2076, 2005) is used for choosing the regularization parameter. The optimality of this method is proved under a general source condition involving the Fréchet derivative of F at some initial guess x0. A numerical example of nonlinear integral equation shows the efficiency of this procedure. Gauss-Newton method (dpeaa)DE-He213 Nonlinear ill-posed problems (dpeaa)DE-He213 Hammerstein operators (dpeaa)DE-He213 Tikhonov regularization (dpeaa)DE-He213 Iterative regularization method (dpeaa)DE-He213 Adaptive choice (dpeaa)DE-He213 Shobha, Monnanda Erappa aut Enthalten in Journal of applied mathematics and computing Berlin : Springer, 2006 44(2013), 1-2 vom: 20. Apr., Seite 69-82 (DE-627)565516833 (DE-600)2424171-4 1865-2085 nnns volume:44 year:2013 number:1-2 day:20 month:04 pages:69-82 https://dx.doi.org/10.1007/s12190-013-0681-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 44 2013 1-2 20 04 69-82 |
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10.1007/s12190-013-0681-1 doi (DE-627)SPR025153234 (SPR)s12190-013-0681-1-e DE-627 ger DE-627 rakwb eng George, Santhosh verfasserin aut Newton type iteration for Tikhonov regularization of non-linear ill-posed Hammerstein type equations 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Korean Society for Computational and Applied Mathematics 2013 Abstract An iterative method is investigated for a nonlinear ill-posed Hammerstein type operator equation KF(x)=f. We use a center-type Lipschitz condition in our convergence analysis instead of the usual Lipschitz condition. The adaptive method of Pereverzev and Schock (SIAM J. Numer. Anal. 43(5):2060–2076, 2005) is used for choosing the regularization parameter. The optimality of this method is proved under a general source condition involving the Fréchet derivative of F at some initial guess x0. A numerical example of nonlinear integral equation shows the efficiency of this procedure. Gauss-Newton method (dpeaa)DE-He213 Nonlinear ill-posed problems (dpeaa)DE-He213 Hammerstein operators (dpeaa)DE-He213 Tikhonov regularization (dpeaa)DE-He213 Iterative regularization method (dpeaa)DE-He213 Adaptive choice (dpeaa)DE-He213 Shobha, Monnanda Erappa aut Enthalten in Journal of applied mathematics and computing Berlin : Springer, 2006 44(2013), 1-2 vom: 20. Apr., Seite 69-82 (DE-627)565516833 (DE-600)2424171-4 1865-2085 nnns volume:44 year:2013 number:1-2 day:20 month:04 pages:69-82 https://dx.doi.org/10.1007/s12190-013-0681-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 44 2013 1-2 20 04 69-82 |
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10.1007/s12190-013-0681-1 doi (DE-627)SPR025153234 (SPR)s12190-013-0681-1-e DE-627 ger DE-627 rakwb eng George, Santhosh verfasserin aut Newton type iteration for Tikhonov regularization of non-linear ill-posed Hammerstein type equations 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Korean Society for Computational and Applied Mathematics 2013 Abstract An iterative method is investigated for a nonlinear ill-posed Hammerstein type operator equation KF(x)=f. We use a center-type Lipschitz condition in our convergence analysis instead of the usual Lipschitz condition. The adaptive method of Pereverzev and Schock (SIAM J. Numer. Anal. 43(5):2060–2076, 2005) is used for choosing the regularization parameter. The optimality of this method is proved under a general source condition involving the Fréchet derivative of F at some initial guess x0. A numerical example of nonlinear integral equation shows the efficiency of this procedure. Gauss-Newton method (dpeaa)DE-He213 Nonlinear ill-posed problems (dpeaa)DE-He213 Hammerstein operators (dpeaa)DE-He213 Tikhonov regularization (dpeaa)DE-He213 Iterative regularization method (dpeaa)DE-He213 Adaptive choice (dpeaa)DE-He213 Shobha, Monnanda Erappa aut Enthalten in Journal of applied mathematics and computing Berlin : Springer, 2006 44(2013), 1-2 vom: 20. Apr., Seite 69-82 (DE-627)565516833 (DE-600)2424171-4 1865-2085 nnns volume:44 year:2013 number:1-2 day:20 month:04 pages:69-82 https://dx.doi.org/10.1007/s12190-013-0681-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 44 2013 1-2 20 04 69-82 |
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10.1007/s12190-013-0681-1 doi (DE-627)SPR025153234 (SPR)s12190-013-0681-1-e DE-627 ger DE-627 rakwb eng George, Santhosh verfasserin aut Newton type iteration for Tikhonov regularization of non-linear ill-posed Hammerstein type equations 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Korean Society for Computational and Applied Mathematics 2013 Abstract An iterative method is investigated for a nonlinear ill-posed Hammerstein type operator equation KF(x)=f. We use a center-type Lipschitz condition in our convergence analysis instead of the usual Lipschitz condition. The adaptive method of Pereverzev and Schock (SIAM J. Numer. Anal. 43(5):2060–2076, 2005) is used for choosing the regularization parameter. The optimality of this method is proved under a general source condition involving the Fréchet derivative of F at some initial guess x0. A numerical example of nonlinear integral equation shows the efficiency of this procedure. Gauss-Newton method (dpeaa)DE-He213 Nonlinear ill-posed problems (dpeaa)DE-He213 Hammerstein operators (dpeaa)DE-He213 Tikhonov regularization (dpeaa)DE-He213 Iterative regularization method (dpeaa)DE-He213 Adaptive choice (dpeaa)DE-He213 Shobha, Monnanda Erappa aut Enthalten in Journal of applied mathematics and computing Berlin : Springer, 2006 44(2013), 1-2 vom: 20. Apr., Seite 69-82 (DE-627)565516833 (DE-600)2424171-4 1865-2085 nnns volume:44 year:2013 number:1-2 day:20 month:04 pages:69-82 https://dx.doi.org/10.1007/s12190-013-0681-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 44 2013 1-2 20 04 69-82 |
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George, Santhosh |
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George, Santhosh misc Gauss-Newton method misc Nonlinear ill-posed problems misc Hammerstein operators misc Tikhonov regularization misc Iterative regularization method misc Adaptive choice Newton type iteration for Tikhonov regularization of non-linear ill-posed Hammerstein type equations |
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Newton type iteration for Tikhonov regularization of non-linear ill-posed Hammerstein type equations Gauss-Newton method (dpeaa)DE-He213 Nonlinear ill-posed problems (dpeaa)DE-He213 Hammerstein operators (dpeaa)DE-He213 Tikhonov regularization (dpeaa)DE-He213 Iterative regularization method (dpeaa)DE-He213 Adaptive choice (dpeaa)DE-He213 |
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misc Gauss-Newton method misc Nonlinear ill-posed problems misc Hammerstein operators misc Tikhonov regularization misc Iterative regularization method misc Adaptive choice |
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misc Gauss-Newton method misc Nonlinear ill-posed problems misc Hammerstein operators misc Tikhonov regularization misc Iterative regularization method misc Adaptive choice |
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Newton type iteration for Tikhonov regularization of non-linear ill-posed Hammerstein type equations |
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Newton type iteration for Tikhonov regularization of non-linear ill-posed Hammerstein type equations |
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George, Santhosh |
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George, Santhosh Shobha, Monnanda Erappa |
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newton type iteration for tikhonov regularization of non-linear ill-posed hammerstein type equations |
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Newton type iteration for Tikhonov regularization of non-linear ill-posed Hammerstein type equations |
| abstract |
Abstract An iterative method is investigated for a nonlinear ill-posed Hammerstein type operator equation KF(x)=f. We use a center-type Lipschitz condition in our convergence analysis instead of the usual Lipschitz condition. The adaptive method of Pereverzev and Schock (SIAM J. Numer. Anal. 43(5):2060–2076, 2005) is used for choosing the regularization parameter. The optimality of this method is proved under a general source condition involving the Fréchet derivative of F at some initial guess x0. A numerical example of nonlinear integral equation shows the efficiency of this procedure. © Korean Society for Computational and Applied Mathematics 2013 |
| abstractGer |
Abstract An iterative method is investigated for a nonlinear ill-posed Hammerstein type operator equation KF(x)=f. We use a center-type Lipschitz condition in our convergence analysis instead of the usual Lipschitz condition. The adaptive method of Pereverzev and Schock (SIAM J. Numer. Anal. 43(5):2060–2076, 2005) is used for choosing the regularization parameter. The optimality of this method is proved under a general source condition involving the Fréchet derivative of F at some initial guess x0. A numerical example of nonlinear integral equation shows the efficiency of this procedure. © Korean Society for Computational and Applied Mathematics 2013 |
| abstract_unstemmed |
Abstract An iterative method is investigated for a nonlinear ill-posed Hammerstein type operator equation KF(x)=f. We use a center-type Lipschitz condition in our convergence analysis instead of the usual Lipschitz condition. The adaptive method of Pereverzev and Schock (SIAM J. Numer. Anal. 43(5):2060–2076, 2005) is used for choosing the regularization parameter. The optimality of this method is proved under a general source condition involving the Fréchet derivative of F at some initial guess x0. A numerical example of nonlinear integral equation shows the efficiency of this procedure. © Korean Society for Computational and Applied Mathematics 2013 |
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Newton type iteration for Tikhonov regularization of non-linear ill-posed Hammerstein type equations |
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2024-07-03T14:11:46.502Z |
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