A convergence rate result for a steepest descent method and a minimal error method for the solution of nonlinear ill-posed problems
DOI10.4171/ZAA/679zbMath0826.65053OpenAlexW2009666499MaRDI QIDQ1891946
Otmar Scherzer, Andreas Neubauer
Publication date: 26 November 1995
Published in: Zeitschrift für Analysis und ihre Anwendungen (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.4171/zaa/679
convergenceparameter estimationnonlinear operator equationnonlinear ill-posed problemssteepest descent methodminimal error method
Iterative procedures involving nonlinear operators (47J25) Numerical solutions to equations with nonlinear operators (65J15) Numerical solutions of ill-posed problems in abstract spaces; regularization (65J20)
Related Items (21)
Cites Work
- Iterative solution methods for inconsistent linear equations with nonself-adjoint operators
- A uniform approach to gradient methods for linear operator equations
- A convergence analysis of the Landweber iteration for nonlinear ill-posed problems
- On the Landweber iteration for nonlinear ill-posed problems
- A convergence analysis of a method of steepest descent and a two–step algorothm for nonlinear ill–posed problems
- Steepest descent for singular linear operators with nonclosed range
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