Continuous modified Newton's-type method for nonlinear operator equations
A. G. Ramm, A. B. Smirnova, A. Favini
TL;DR
The paper studies nonlinear operator equations $F(x)=0$ in a Hilbert space using continuous dynamical systems methods (DSM) and continuous Newton-type schemes. It proves exponential convergence for well-posed cases via autonomous flows such as $\dot x(t)=\Phi(x(t))$, including schemes that avoid inverting $F'(x)$ by updating an auxiliary operator $B(t)$ or using a fixed inverse. For ill-posed problems it introduces a continuously regularized Newton scheme with a time-dependent parameter $\varepsilon(t)$, providing convergence and stability results and a stopping rule to handle data noise. Overall, it unifies well-posed and ill-posed nonlinear problem solving within the DSM framework, offering rigorous convergence guarantees and practical relevance for inverse problems.
Abstract
A nonlinear operator equation $F(x)=0$, $F:H\to H,$ in a Hilbert space is considered. Continuous Newton's-type procedures based on a construction of a dynamical system with the trajectory starting at some initial point $x_0$ and becoming asymptotically close to a solution of $F(x)=0$ as $t\to +\infty$ are discussed. Well-posed and ill-posed problems are investigated.
