… linear regularity property and the linear convergence property of the projection-based methods
for solving the convex feasibility problem. … to ensure the bounded linear regularity in terms …

… We obtain global convergence of the sequences of … split feasibility problem satisfies some
bounded linear regularity property, we show that the generated sequences converge linearly. …

… (A strictly feasible point need not always exist even when the … It is the objective of this paper
to establisha convergence theory … of a global Q-linear convergence result and a polynomial …

… solving (nonconvex) feasibility problems in Euclidean spaces. … In the case of convex feasibility,
firm nonexpansiveness of … Our statement of linear convergence of AP is as general as the …

… Abstract Many optimization problems reduce to the solution of a system of linear inequalities
(SLI). … We consider the problem of finding a solution x ∗ of a consistent system of linear …

… gradient projection scheme which is proven to converge to a unique solution of NCF at a
linear rate under a natural assumption explicitly given defined in terms of the problem’s data. …

… the feasible set or (ii) in real-time applications, when it is crucial that a feasible solution be
… preserving the local two-step superlinear convergence of the quasi-Newton SQP iteration [ …

… the convergence issue of the subgradient algorithm for solving the convex feasibility problems
in … The linear convergence property about the subgradient algorithm for solving the convex …

… several local linear convergence results for the algorithm in solving feasibility problems with
… Our findings not only relax some regularity conditions but also improve linear convergence …

… projection methods for solving convex feasibility and optimization problems. We prove that …
converge to solutions of the consistent convex feasibility problem, and that their convergence …