Convergence theorems for inertial KM-type algorithms (Q935781)
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scientific article; zbMATH DE number 5309291
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Convergence theorems for inertial KM-type algorithms |
scientific article; zbMATH DE number 5309291 |
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Convergence theorems for inertial KM-type algorithms (English)
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8 August 2008
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For the approximation of fixed points of nonlinear operators in a Hilbert space, a general method is studied that allows to unify iterations of Krasnoselskij-Mann-type with a relaxation or damping factor and inertial-type extrapolation methods. Results on the weak convergence are shown. Applications are given for constraint minimization problems, subgradient projection methods, and problems with maximal monotone operator.
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nonlinear mapping
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maximal monotone operator
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fixed point
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Krasnoselskij-Mann iteration
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convergence
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convex optimization
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subgradient projection
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