國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Variational regularization for syste...

Huber, Richard.

Variational regularization for systems of inverse problemsTikhonov regularization with multiple forward operators /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Variational regularization for systems of inverse problemsby Richard Huber.
其他題名:	Tikhonov regularization with multiple forward operators /
作者:	Huber, Richard.
出版者:	Wiesbaden :Springer Fachmedien Wiesbaden :2019.
面頁冊數:	ix, 136 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Inverse problems (Differential equations)
電子資源:	https://doi.org/10.1007/978-3-658-25390-5
ISBN:	9783658253905$q(electronic bk.)

Variational regularization for systems of inverse problemsTikhonov regularization with multiple forward operators /
Huber, Richard.

Variational regularization for systems of inverse problemsTikhonov regularization with multiple forward operators /[electronic resource] :by Richard Huber. - Wiesbaden :Springer Fachmedien Wiesbaden :2019. - ix, 136 p. :ill., digital ;24 cm. - BestMasters,2625-3577. - BestMasters..

General Tikhonov Regularization -- Specific Discrepancies -- Regularization Functionals -- Application to STEM Tomography Reconstruction.

Tikhonov regularization is a cornerstone technique in solving inverse problems with applications in countless scientiﬁc ﬁelds. Richard Huber discusses a multi-parameter Tikhonov approach for systems of inverse problems in order to take advantage of their speciﬁc structure. Such an approach allows to choose the regularization weights of each subproblem individually with respect to the corresponding noise levels and degrees of ill-posedness. Contents General Tikhonov Regularization Specific Discrepancies Regularization Functionals Application to STEM Tomography Reconstruction Target Groups Researchers and students in the field of mathematics Experts in the areas of mathematics, imaging, computer vision and nanotechnology The Author Richard Huber wrote his master's thesis under the supervision of Prof. Dr. Kristian Bredies at the Institute for Mathematics and Scientific Computing at Graz University, Austria.

ISBN: 9783658253905$q(electronic bk.)

Standard No.: 10.1007/978-3-658-25390-5doiSubjects--Topical Terms:

189581
Inverse problems (Differential equations)

LC Class. No.: QA371

Dewey Class. No.: 515.357

Variational regularization for systems of inverse problemsTikhonov regularization with multiple forward operators /
LDR:02124nmm a2200337 a 4500 001 553841
003 DE-He213
005 20190214141650.0
006 m d
007 cr nn 008maaau
008 191112s2019 gw s 0 eng d
020 $a 9783658253905$q(electronic bk.)
020 $a 9783658253899$q(paper)
024 7 $a 10.1007/978-3-658-25390-5 $2 doi
035 $a 978-3-658-25390-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QA371
072 7 $a PBW $2 bicssc
072 7 $a MAT003000 $2 bisacsh
072 7 $a PBW $2 thema
082 0 4 $a 515.357 $2 23
090 $a QA371 $b .H877 2019
100 1 $a Huber, Richard. $3 835362
245 1 0 $a Variational regularization for systems of inverse problems $h [electronic resource] : $b Tikhonov regularization with multiple forward operators / $c by Richard Huber.
260 $a Wiesbaden : $b Springer Fachmedien Wiesbaden : $b Imprint: Springer Spektrum, $c 2019.
300 $a ix, 136 p. : $b ill., digital ; $c 24 cm.
490 1 $a BestMasters, $x 2625-3577
505 0 $a General Tikhonov Regularization -- Specific Discrepancies -- Regularization Functionals -- Application to STEM Tomography Reconstruction.
520 $a Tikhonov regularization is a cornerstone technique in solving inverse problems with applications in countless scientiﬁc ﬁelds. Richard Huber discusses a multi-parameter Tikhonov approach for systems of inverse problems in order to take advantage of their speciﬁc structure. Such an approach allows to choose the regularization weights of each subproblem individually with respect to the corresponding noise levels and degrees of ill-posedness. Contents General Tikhonov Regularization Specific Discrepancies Regularization Functionals Application to STEM Tomography Reconstruction Target Groups Researchers and students in the field of mathematics Experts in the areas of mathematics, imaging, computer vision and nanotechnology The Author Richard Huber wrote his master's thesis under the supervision of Prof. Dr. Kristian Bredies at the Institute for Mathematics and Scientific Computing at Graz University, Austria.
650 0 $a Inverse problems (Differential equations) $3 189581
650 1 4 $a Applications of Mathematics. $3 273744
650 2 4 $a Analysis. $3 273775
650 2 4 $a Computational Mathematics and Numerical Analysis. $3 274020
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a BestMasters. $3 676593
856 4 0 $u https://doi.org/10.1007/978-3-658-25390-5
950 $a Mathematics and Statistics (Springer-11649)