Articles with "newton" as a keyword



XMM‐Newton Publications From 2000 to 2024

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Published in 2025 at "Astronomische Nachrichten"

DOI: 10.1002/asna.70014

Abstract: XMM‐Newton is an ESA space x‐ray observatory launched on 11 December 1999, and after 25 years, a study is presented demonstrating that the data of the mission are efficiently used by an engaged and productive community.… read more here.

Keywords: number; 2000 2024; time; newton ... See more keywords

A powerful truncated Newton method for potential energy minimization

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Published in 2018 at "Journal of Computational Chemistry"

DOI: 10.1002/jcc.540080711

Abstract: With advances in computer architecture and software, Newton methods are becoming not only feasible for large‐scale nonlinear optimization problems, but also reliable, fast and efficient. Truncated Newton methods, in particular, are emerging as a versatile… read more here.

Keywords: potential energy; method; minimization; truncated newton ... See more keywords

FEM×DEM multiscale modeling: Model performance enhancement from Newton strategy to element loop parallelization

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Published in 2018 at "International Journal for Numerical Methods in Engineering"

DOI: 10.1002/nme.5732

Abstract: The paper presents a multiscale model based on a FEMxDEM approach, a method that couples Discrete Elements at the micro-scale and Finite Elements at the macro-scale. FEMxDEM has proven to be an effective way to… read more here.

Keywords: parallelization; element; model; strategy ... See more keywords

A Robin‐Neumann scheme with quasi‐Newton acceleration for partitioned fluid‐structure interaction

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Published in 2022 at "International Journal for Numerical Methods in Engineering"

DOI: 10.1002/nme.7151

Abstract: The Dirichlet–Neumann scheme is the most common partitioned algorithm for fluid‐structure interaction (FSI) and offers high flexibility concerning the solvers employed for the two subproblems. Nevertheless, it is not without shortcomings: to begin with, the… read more here.

Keywords: dirichlet; robin neumann; neumann scheme; newton ... See more keywords

Proximal quasi-Newton methods for regularized convex optimization with linear and accelerated sublinear convergence rates

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Published in 2018 at "Computational Optimization and Applications"

DOI: 10.1007/s10589-017-9964-z

Abstract: A general, inexact, efficient proximal quasi-Newton algorithm for composite optimization problems has been proposed by Scheinberg and Tang (Math Program 160:495–529, 2016) and a sublinear global convergence rate has been established. In this paper, we… read more here.

Keywords: newton algorithm; proximal quasi; quasi newton; optimization ... See more keywords

Riemannian Newton optimization methods for the symmetric tensor approximation problem

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Published in 2021 at "Linear Algebra and its Applications"

DOI: 10.1016/j.laa.2021.12.008

Abstract: The Symmetric Tensor Approximation problem (STA) consists of approximating a symmetric tensor or a homogeneous polynomial by a linear combination of symmetric rank-1 tensors or powers of linear forms of low symmetric rank. We present… read more here.

Keywords: newton; tensor; symmetric tensor; approximation problem ... See more keywords

Efficient and practical Newton solvers for non-linear Stokes systems in geodynamic problems

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Published in 2019 at "Geophysical Journal International"

DOI: 10.1093/gji/ggz183

Abstract: Many problems in geodynamic modelling result in a non-linear Stokes problem in which the viscosity depends on the strain rate and pressure (in addition to other variables). After discretization, the resulting non-linear system is most… read more here.

Keywords: non linear; practical newton; newton; newton solvers ... See more keywords

The Sequential Fusion Estimation Algorithms Based on Gauss-Newton Method Over Multi-Agent Networked Systems

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Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3003984

Abstract: In multi-agent networked systems, parameter estimation problems arising in many practical applications are often required to solve Non-Linear Least Squares (NLLS) problems with the usual objective function (i.e., sum of squared residuals). The aim is… read more here.

Keywords: agent networked; newton; multi agent; gauss newton ... See more keywords

EI-NK: A Robust Exponential Integrator Method With Singularity Removal and Newton–Raphson Iterations for Transient Nonlinear Circuit Simulation

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Published in 2022 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"

DOI: 10.1109/tcad.2021.3098749

Abstract: In this article, we propose an exponential-integrator-Newton–Krylov (EI-NK) method for transient simulation of large-scale nonlinear circuits. This method aims to address two long-standing problems that affect the performance and robustness of EI in handling nonlinear… read more here.

Keywords: exponential integrator; newton raphson; method; simulation ... See more keywords

Chaotic Convergence of Newton's Method

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Published in 2024 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2024.3376088

Abstract: In 1680 Newton proposed an algorithm for finding roots of polynomials. His method has since evolved but the core concept remains intact. The convergence of Newton's Method has been widely challenged to be unstable or… read more here.

Keywords: convergence newton; newton; step size; newton method ... See more keywords

A modern interpretation of Newton's theorem of revolving orbits

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Published in 2024 at "American Journal of Physics"

DOI: 10.1119/5.0166698

Abstract: Newton's Theorem of Revolving Orbits derives the force that is necessary to explain a particular precession that leaves the shape of an orbit unchanged. Newton showed that for an orbiting body that is already subject… read more here.

Keywords: newton theorem; modern interpretation; newton; interpretation newton ... See more keywords