Results 21 to 30 of about 713,971 (166)
Pseudo-loadflow formulation as a starting process for the Newton Raphson
This paper introduces new models which approximate the AC loadflow problem, but are able to converge (using the Newton Raphson algorithm) from a wider range of starting points.
Irving, MR
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Learning regularized Gauss-Newton methods
We consider variational networks for a class of nonlinear-ill-posed least squares inverse problems. These problems are addressed by regularized Gauss-Newton type optimization algorithms where the regularization is learned by a neural network.
Francesco Colibazzi +3 more
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textRoot-finding algorithms have been studied for ages for their various applications. Newton's Method is just one of these root-finding algorithms.
Banacka, Nicole Lynn
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A semismooth newton method for the nearest Euclidean distance matrix problem
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
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Inexact proximal DC Newton-type method for nonconvex composite functions [PDF]
We consider a class of difference-of-convex (DC) optimization problems where the objective function is the sum of a smooth function and a possible nonsmooth DC function.
Yabe, Hiroshi +2 more
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An inexact Newton-type method for inverse singular value problems
In this paper, an inexact Newton-type approach is proposed for solving inverse singular value problems. We show that the method converges superlinearly.
白正简, Bai, Z. J., Xu, S. F.
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Métodos de Krylov-Newton aplicados à simulação numérica de reservatórios de petróleo [PDF]
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico.A simulação do processo de extração de óleo em um reservatório de petróleo é um problema complexo que envolve o escoamento multifásico em um meio poroso de geometria ...
Lucianetti, Rodrigo Machado
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Proximal Newton-Type Methods for Minimizing Composite Functions [PDF]
We generalize Newton-type methods for minimizing smooth functions to handle a sum of two convex functions: a smooth function and a nonsmooth function with a simple proximal mapping. We show that the resulting proximal Newton-type methods inherit the desirable convergence behavior of Newton-type methods for minimizing smooth functions, even when search ...
Jason D. Lee +2 more
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Newton-Kantorovich and Smale Uniform Type Convergence Theorem for a Deformed Newton Method in Banach Spaces [PDF]
Newton-Kantorovich and Smale uniform type of convergence theorem of a deformed Newton method having the third-order convergence is established in a Banach space for solving nonlinear equations.
Yueqing Zhao +4 more
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We apply sequential Bayesian inference with a discriminatively specified observation model to the subsampled gradients and Hessians used by the stochastic Newton method for online ...
Michael C. Burkhart (6643982)
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