RN-SLRA is a geometry-adaptive regularized Newton method for manifold-affine intersections that guarantees local linear convergence under intrinsic transversality and quadratic convergence under transversality with residual-dependent regularization.
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A Geometry-Adaptive Regularized Newton-Type Method for Manifold-Affine Intersection Problems
RN-SLRA is a geometry-adaptive regularized Newton method for manifold-affine intersections that guarantees local linear convergence under intrinsic transversality and quadratic convergence under transversality with residual-dependent regularization.