Results 91 to 100 of about 827,423 (299)
Newton-type regularization methods for nonlinear inverse problems [PDF]
, 2016 Inverse problems arise whenever one searches for unknown causes based on observation of their effects. Such problems are usually ill-posed in the sense that their solutions do not depend continuously on the data.
Jin, Qinian
core
Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics
Advanced Science, EarlyView.Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai +3 more
wiley +1 more source
Mixed complementarity problems: Regularity, error bounds, and Newton-type methods
, 2020 This paper is devoted to mixed complementarity problems (variational inequalities on a box). This class includes many important problem statements, for example, systems of equations, conventional complementarity problems, and Karush-Kuhn-Tucker systems ...
Daryina A.N. +2 more
core
A semismooth newton method for the nearest Euclidean distance matrix problem
, 2013 The Nearest Euclidean distance matrix problem (NEDM) is a fundamentalcomputational problem in applications such asmultidimensional scaling and molecularconformation from nuclear magnetic resonance data in computational chemistry.Especially in the latter ...
Qi, Houduo
core +1 more source
Advanced Energy Materials, EarlyView.Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
Iteratively regularized Gauss-Newton type methods for approximating quasi-solutions of irregular nonlinear operator equations in Hilbert space with an application to COVID-19 epidemic dynamics. [PDF]
Appl Math Comput, 2022 Kokurin MM, Kokurin MY, Semenova AV.
europepmc +1 more source
Trump Tariffs 2.0: Assessing the Impacts on US Distilled Spirits Imports
Agribusiness, EarlyView.ABSTRACT The proposed 25% tariff on Mexico and Canada could have significant repercussions on US imports of distilled spirits. This study estimates US import demand across various spirit categories (e.g., tequila, whiskey) and assesses the potential impact of the proposed tariff.
Andrew Muhammad
wiley +1 more source
Newton-type methods for optimization and variational problems
, 2014 This book presents comprehensive state-of-the-art theoretical analysis of the fundamental Newtonian and Newtonian-related approaches to solving optimization and variational problems. A central focus is the relationship between the basic Newton scheme for
Izmailov, Alexey F, Solodov, Mikhail V
core +1 more source
Approximations and generalized Newton methods [PDF]
, 2017 We present approaches to (generalized) Newton methods in the framework of generalized equations $0\in f(x)+M(x)$, where $f$ is a function and $M$ is a multifunction.
Kummer, Bernd +3 more
core +1 more source
, 2021 Capítulo del libro "Contemporary study of iterative methods: convergence, dynamics and applications"In this chapter, we are concerned with the convergence of the Directional Newton method (DNM), which is used in many areas such us computer graphics and ...
Argyros, Ioannis K +1 more
core +1 more source