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The Resource Variational Regularization for Systems of Inverse Problems : Tikhonov Regularization with Multiple Forward Operators, by Richard Huber, (electronic resource)

Variational Regularization for Systems of Inverse Problems : Tikhonov Regularization with Multiple Forward Operators, by Richard Huber, (electronic resource)

Label
Variational Regularization for Systems of Inverse Problems : Tikhonov Regularization with Multiple Forward Operators
Title
Variational Regularization for Systems of Inverse Problems
Title remainder
Tikhonov Regularization with Multiple Forward Operators
Statement of responsibility
by Richard Huber
Creator
Author
Subject
Language
eng
Summary
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.--
Member of
Assigning source
Provided by publisher
http://library.link/vocab/creatorName
Huber, Richard
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
28KiX4DU-1M
Image bit depth
0
Literary form
non fiction
Nature of contents
dictionaries
Series statement
  • BestMasters,
  • Springer eBooks
  • Springer eBooks.
http://library.link/vocab/subjectName
  • Mathematics
  • Global analysis (Mathematics)
  • Computer science
Label
Variational Regularization for Systems of Inverse Problems : Tikhonov Regularization with Multiple Forward Operators, by Richard Huber, (electronic resource)
Link
http://ezproxy.eui.eu/login?url=https://doi.org/10.1007/978-3-658-25390-5
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
General Tikhonov Regularization -- Specific Discrepancies -- Regularization Functionals -- Application to STEM Tomography Reconstruction
Control code
978-3-658-25390-5
Dimensions
unknown
Extent
1 online resource (IX, 136 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9783658253905
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
1 illustration
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1086310698
Label
Variational Regularization for Systems of Inverse Problems : Tikhonov Regularization with Multiple Forward Operators, by Richard Huber, (electronic resource)
Link
http://ezproxy.eui.eu/login?url=https://doi.org/10.1007/978-3-658-25390-5
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
General Tikhonov Regularization -- Specific Discrepancies -- Regularization Functionals -- Application to STEM Tomography Reconstruction
Control code
978-3-658-25390-5
Dimensions
unknown
Extent
1 online resource (IX, 136 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9783658253905
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
1 illustration
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1086310698

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