Academic Journal

Solving a system of complex matrix equations using a gradient-based method and its application in image restoration.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Solving a system of complex matrix equations using a gradient-based method and its application in image restoration.
Συγγραφείς: Shirilord, Akbar, Dehghan, Mehdi
Πηγή: Numerical Algorithms; Apr2025, Vol. 98 Issue 4, p1849-1896, 48p
Θεματικοί όροι: Systems theory, Complex matrices, Computational mathematics, Image reconstruction, Constrained optimization
Περίληψη: This study presents some new iterative algorithms based on the gradient method to solve general constrained systems of conjugate transpose matrix equations for both real and complex matrices. In addition, we analyze the convergence properties of these methods and provide numerical techniques to determine the solutions. Then we prove that the optimal parameters of the new algorithm satisfy a constrained optimization problem. The effectiveness of the proposed iterative methods is demonstrated through various numerical examples employed in this study and compared the results by some existing algorithms. [ABSTRACT FROM AUTHOR]
Copyright of Numerical Algorithms is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
FullText Links:
  – Type: other
Text:
  Availability: 0
CustomLinks:
  – Url: https://dx.doi.org/doi:10.1007/s11075-024-01856-2
    Name: EDS - Springer Nature Journals (s7799221)
    Category: fullText
    Text: View record at Springer
Header DbId: edb
DbLabel: Complementary Index
An: 183852835
RelevancyScore: 984
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 983.703247070313
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Solving a system of complex matrix equations using a gradient-based method and its application in image restoration.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Shirilord%2C+Akbar%22">Shirilord, Akbar</searchLink><br /><searchLink fieldCode="AR" term="%22Dehghan%2C+Mehdi%22">Dehghan, Mehdi</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: Numerical Algorithms; Apr2025, Vol. 98 Issue 4, p1849-1896, 48p
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Systems+theory%22">Systems theory</searchLink><br /><searchLink fieldCode="DE" term="%22Complex+matrices%22">Complex matrices</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+mathematics%22">Computational mathematics</searchLink><br /><searchLink fieldCode="DE" term="%22Image+reconstruction%22">Image reconstruction</searchLink><br /><searchLink fieldCode="DE" term="%22Constrained+optimization%22">Constrained optimization</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study presents some new iterative algorithms based on the gradient method to solve general constrained systems of conjugate transpose matrix equations for both real and complex matrices. In addition, we analyze the convergence properties of these methods and provide numerical techniques to determine the solutions. Then we prove that the optimal parameters of the new algorithm satisfy a constrained optimization problem. The effectiveness of the proposed iterative methods is demonstrated through various numerical examples employed in this study and compared the results by some existing algorithms. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Numerical Algorithms is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=183852835
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11075-024-01856-2
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 48
        StartPage: 1849
    Subjects:
      – SubjectFull: Systems theory
        Type: general
      – SubjectFull: Complex matrices
        Type: general
      – SubjectFull: Computational mathematics
        Type: general
      – SubjectFull: Image reconstruction
        Type: general
      – SubjectFull: Constrained optimization
        Type: general
    Titles:
      – TitleFull: Solving a system of complex matrix equations using a gradient-based method and its application in image restoration.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Shirilord, Akbar
      – PersonEntity:
          Name:
            NameFull: Dehghan, Mehdi
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 04
              Text: Apr2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 10171398
          Numbering:
            – Type: volume
              Value: 98
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: Numerical Algorithms
              Type: main
ResultId 1