Inexact Newton's method to nonlinear functions with values in a cone
Provides theoretical guarantees for inexact Newton methods in abstract settings, but the contribution is incremental as it extends existing results using known convex optimization techniques.
This paper proves a robust convergence theorem for inexact Newton's method applied to nonlinear inclusion problems in Banach space, yielding affine invariant versions of Kantorovich's theorem and Smale's α-theorem.
The problem of finding a solution of nonlinear inclusion problems in Banach space is considered in this paper. Using convex optimization techniques introduced by Robinson (Numer. Math., Vol. 19, 1972, pp. 341-347), a robust convergence theorem for inexact Newton's method is proved. As an application, an affine invariant version of Kantorovich's theorem and Smale's α-theorem for inexact Newton's method is obtained.