Convexity of the Tikhonov functional and iteratively regularized methods for solving irregular nonlinear operator equations
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Publication:2995892
DOI10.1134/S0965542510040056zbMath1217.47105MaRDI QIDQ2995892
Publication date: 4 May 2011
Published in: Computational Mathematics and Mathematical Physics (Search for Journal in Brave)
global optimizationill-posed problemoperator equationsstrong convexityTikhonov schemeFejér mapssourcewise representability
Iterative procedures involving nonlinear operators (47J25) Nonlinear ill-posed problems (47J06) Numerical solutions of ill-posed problems in abstract spaces; regularization (65J20)
Related Items (10)
Source conditions and accuracy estimates in Tikhonov's scheme of solving ill-posed nonconvex optimization problems ⋮ Convergence rate estimates for Tikhonov's scheme as applied to ill-posed nonconvex optimization problems ⋮ Modified steepest descent method for nonlinear irregular operator equations ⋮ Iteratively regularized methods for irregular nonlinear operator equations with a normally solvable derivative at the solution ⋮ The Levenberg-Marquardt method for approximation of solutions of irregular operator equations ⋮ Sourcewise representability conditions and power estimates of convergence rate in Tikhonov's scheme for solving ill-posed extremal problems ⋮ A global minimization algorithm for Tikhonov functionals with sparsity constraints ⋮ Accuracy estimation for a class of iteratively regularized Gauss-Newton methods with a posteriori stopping rule ⋮ Finite-dimensional iteratively regularized processes with an a posteriori stopping for solving irregular nonlinear operator equations ⋮ On sequential minimization of Tikhonov functionals in ill-posed problems with a priori information on solutions
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