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We consider minimization of a smooth nonconvex objective function using an iterative algorithm based on Newton's method and the linear conjugate gradient algorithm, with explicit detection and use of negative curvature directions for the…

Optimization and Control · Mathematics 2018-11-14 Clément W. Royer , Michael O'Neill , Stephen J. Wright

Geometric algebra is an optimal frame work for calculating with vectors. The geometric algebra of a space includes elements that represent all the its subspaces (lines, planes, volumes, ...). Conformal geometric algebra expands this…

Computer Vision and Pattern Recognition · Computer Science 2013-06-07 Eckhard Hitzer

The goal of this paper is to study the path-following method for univariate polynomials. We propose to study the complexity and condition properties when the Newton method is applied as a correction operator. Then we study the geodesics and…

Optimization and Control · Mathematics 2022-08-10 Bao Duy Tran

In this paper, we propose an inexact Newton-like conditional gradient method for solving constrained systems of nonlinear equations. The local convergence of the new method as well as results on its rate are established by using a general…

Optimization and Control · Mathematics 2017-05-23 M. L. N. Goncalves , F. R. Oliveira

Recently, a Riemannian proximal Newton method has been developed for optimizing problems in the form of $\min_{x\in\mathcal{M}} f(x) + \mu \|x\|_1$, where $\mathcal{M}$ is a compact embedded submanifold and $f(x)$ is smooth. Although this…

Optimization and Control · Mathematics 2025-03-25 Wen Huang , Wutao Si

We start by formulating geometrically the Newton's law for a classical free particle in terms of Riemannian geometry, as pattern for subsequent developments. In fact, we use this scheme for further generalisation devoted to a constrained…

Mathematical Physics · Physics 2007-05-23 M. Modugno , R. Vitolo

Motivated by machine learning problems over large data sets and distributed optimization over networks, we develop and analyze a new method called incremental Newton method for minimizing the sum of a large number of strongly convex…

Optimization and Control · Mathematics 2016-04-05 Mert Gürbüzbalaban , Asuman Ozdaglar , Pablo Parrilo

In recent years, the proximal gradient method and its variants have been generalized to Riemannian manifolds for solving optimization problems with an additively separable structure, i.e., $f + h$, where $f$ is continuously differentiable,…

Optimization and Control · Mathematics 2024-04-04 Wutao Si , P. -A. Absil , Wen Huang , Rujun Jiang , Simon Vary

In the paper, a Newton-type method for the solution of generalized equations (GEs) is derived, where the linearization concerns both the single-valued and the multi-valued part of the considered GE. The method is based on the new notion of…

Optimization and Control · Mathematics 2019-04-22 H. Gfrerer , J. V. Outrata

In this paper I present a kind of proof for classical Euclidean geometric problems which relies on both synthetic and analytic geometry. Using the elementary tools of polynomial algebra and multivariate calculus we manage to reduce the…

Algebraic Geometry · Mathematics 2020-05-05 Davide Antonio Nello Maran

We present a local convergence analysis of inexact Newton-like methods for solving nonlinear equations under majorant conditions. This analysis provides an estimate of the convergence radius and a clear relationship between the majorant…

Numerical Analysis · Mathematics 2008-07-25 O. P. Ferreira , M. L. N. Goncalves

This review is an up-to-date account of the use of numerical relativity to study dynamical, strong-gravity environments in a cosmological context. First, we provide a gentle introduction into the use of numerical relativity in solving…

General Relativity and Quantum Cosmology · Physics 2025-06-24 Josu C. Aurrekoetxea , Katy Clough , Eugene A. Lim

We give a relationship that yields an effective geometric way of evaluating mean curvature of surfaces. The approach is reminiscent of the Gauss's contour based evaluation of intrinsic curvature. The presented formula may have a number of…

Numerical Analysis · Mathematics 2011-08-10 Pavel Grinfeld

We consider Proximal Newton methods with an inexact computation of update steps. To this end, we introduce two inexactness criteria which characterize sufficient accuracy of these update step and with the aid of these investigate global…

Optimization and Control · Mathematics 2022-04-27 Bastian Pötzl , Anton Schiela , Patrick Jaap

We describe a three precision variant of Newton's method for nonlinear equations. We evaluate the nonlinear residual in double precision, store the Jacobian matrix in single precision, and solve the equation for the Newton step with…

Numerical Analysis · Mathematics 2023-10-11 C. T. Kelley

In this note we prove that the version of Newton algorithm with line search we used in [2] converges quadratically.

Numerical Analysis · Mathematics 2021-09-09 Denis Zorin

An algorithm is presented for numerical computation of choreographies in the plane in a Newtonian potential and on the sphere in a cotangent potential. It is based on stereographic projection, approximation by trigonometric polynomials, and…

Numerical Analysis · Mathematics 2015-11-19 Hadrien Montanelli , Nikola Ivanov Gushterov

In this review article we discuss recent constructions of global F-theory GUT models and explain how to make use of toric geometry to do calculations within this framework. After introducing the basic properties of global F-theory GUTs we…

High Energy Physics - Theory · Physics 2011-09-08 Johanna Knapp , Maximilian Kreuzer

This paper presents a brief but comprehensive introduction to certain mathematical techniques in General Relativity. Familiar mathematical procedures are investigated taking into account the complications of introducing a non trivial…

Mathematical Physics · Physics 2008-11-06 Andrew DeBenedictis

Comparison of geometric quantities usually means obtaining generally true equalities of different algebraic expressions of a given geometric figure. Today's technical possibilities already support symbolic proofs of a conjectured theorem,…

Computational Geometry · Computer Science 2022-02-10 Zoltán Kovács , Róbert Vajda