Introduction to numerical analysis: 2nd edition
Introduction to numerical analysis: 2nd edition
Geometric optimization methods for adaptive filtering
Geometric optimization methods for adaptive filtering
The Geometry of Algorithms with Orthogonality Constraints
SIAM Journal on Matrix Analysis and Applications
Journal of Complexity - Festschrift for the 70th birthday of Arnold Schönhage
Newton's method for sections on Riemannian manifolds: Generalized covariant α-theory
Journal of Complexity
Kantorovich's majorants principle for Newton's method
Computational Optimization and Applications
Smale's point estimate theory for Newton's method on Lie groups
Journal of Complexity
Journal of Complexity - Festschrift for the 70th birthday of Arnold Schönhage
A Continuous Dynamical Newton-Like Approach to Solving Monotone Inclusions
SIAM Journal on Control and Optimization
Gauss---Newton method for convex composite optimizations on Riemannian manifolds
Journal of Global Optimization
Weak Sharp Minima on Riemannian Manifolds
SIAM Journal on Optimization
Third-order methods on Riemannian manifolds under Kantorovich conditions
Journal of Computational and Applied Mathematics
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Newton's method for finding a zero of a vectorial function is a powerful theoretical and practical tool. One of the drawbacks of the classical convergence proof is that closeness to a non-singular zero must be supposed a priori. Kantorovich's theorem on Newton's method has the advantage of proving existence of a solution and convergence to it under very mild conditions. This theorem holds in Banach spaces. Newton's method has been extended to the problem of finding a singularity of a vectorial field in Riemannian manifold. We extend Kantorovich's theorem on Newton's method to Riemannian manifolds.