Abstract
In this paper, we study ill-posedness concepts of nonlinear and linear operator equations in a Hilbert space setting. Such ill-posedness information may help to select appropriate optimization approaches for the stable approximate solution of inverse problems, which are formulated by the operator equations. We define local ill-posedness of a nonlinear operator equation F(x) = y 0 in a solution point x 0:and consider the interplay between the nonlinear problem and its linearization using the Fréchet derivative F′(x 0). To find a corresponding ill-posedness concept for the linearized equation we define intrinsic ill-posedness for linear operator equations A x = y and compare this approach with the ill-posedness definitions due to Hadamard and Nashed
*Research was supported in part by the Deutsche Forschungsgemeinschaft (DFG) under Grant Ho 1454/3-2
*Research was supported in part by the Deutsche Forschungsgemeinschaft (DFG) under Grant Ho 1454/3-2
Notes
*Research was supported in part by the Deutsche Forschungsgemeinschaft (DFG) under Grant Ho 1454/3-2