Iterative regularization for constrained minimization formulations of nonlinear inverse problems
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1573-2894
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Iterative regularization for constrained minimization formulations of nonlinear inverse problems ; volume:81 ; number:2 ; day:19 ; month:12 ; year:2021 ; pages:569-611 ; date:3.2022
Computational optimization and applications ; 81, Heft 2 (19.12.2021), 569-611, 3.2022
- Creator
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s10589-021-00343-x
- URN
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urn:nbn:de:101:1-2022051621093580538320
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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2025-08-15T07:38:53+0200
Data provider
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Associated
- Kaltenbacher, Barbara
- Huynh, Kha Van
- SpringerLink (Online service)
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Fast iterative regularization by reusing data
Iterative minimization of partial finite state machines
Dynamical approaches to linearly constrained convex minimization
A dynamical systems approach to constrained minimization
Iterative regularization methods for nonlinear ill posed problems
Scale-Space Properties of Nonstationary Iterative Regularization Methods
Regularization and simulation of constrained partial differential equations
Iterative approximation of solutions for constrained convex minimization problem
Iterative methods for constrained convex minimization problem in Hilbert spaces
Multi-step implicit iterative methods with regularization for minimization problems and fixed point problems
Iterative algorithms based on the viscosity approximation method for equilibrium and constrained convex minimization problem
Two cases in compliance minimization with perimeter regularization
Fast iterative regularization by reusing data
Iterative minimization of partial finite state machines
Dynamical approaches to linearly constrained convex minimization
A dynamical systems approach to constrained minimization
Iterative regularization methods for nonlinear ill posed problems
Scale-Space Properties of Nonstationary Iterative Regularization Methods