Results 1 to 10 of about 22 (22)
Extended convergence of a sixth order scheme for solving equations under ω–continuity conditions
Moroccan Journal of Pure and Applied Analysis, 2022 The applicability of an efficient sixth convergence order scheme is extended for solving Banach space valued equations. In previous works, the seventh derivative has been used not appearing on the scheme. But we use only the first derivative that appears
Regmi Samundra +3 more
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Expanding the Applicability of Four Iterative Methods for Solving Least Squares Problems
Annals of the West University of Timisoara: Mathematics and Computer Science, 2017 The aim of this paper is to expand the applicability of four iterative methods for solving nonlinear least squares problems. The advantages obtained under the same computational cost as in earlier studies, include: larger radius of convergence, tighter ...
Argyros Ioannis K. +2 more
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EURO Journal on Computational Optimization, 2019 The plain Newton-min algorithm for solving the linear complementarity problem (LCP) “0⩽x⊥(Mx+q)⩾0” can be viewed as an instance of the plain semismooth Newton method on the equational version “min(x,Mx+q)=0” of the problem.
Jean-Pierre Dussault +2 more
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Local convergence for an eighth order method for solving equations and systems of equations
Nonlinear Engineering, 2019 The aim of this study is to extend the applicability of an eighth convergence order method from the k−dimensional Euclidean space to a Banach space setting.
Argyros Ioannis K., George Santhosh
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Short run hydrothermal coordination with network constraints using an interior point method
Ingeniería y Ciencia, 2008 This paper presents a lineal optimization model to solve the hydrothermal coordination problem. The main contribution of this work is the inclusion of the network constraints to the hydrothermal coordination problem and its solution using an interior ...
Jesús María López Lezama +2 more
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Ingeniería y Ciencia, 2008 En este artículo se presenta un modelo de flujo de potencia óptimo por elmétodo del gradiente para la reducción de pérdidas en sistemas de potencia.El algoritmo permite ajustar un conjunto de variables de control con el finde obtener un punto de ...
Jesús María López Lezama +1 more
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Making space to learn about teaching: expanding teaching horizons through postgraduate education. [PDF]
Adv Health Sci Educ Theory Pract, 2023 Aitken G, Fawns T, Warran K, Jones D.
europepmc +1 more source
Tensor methods for finding approximate stationary points of convex functions. [PDF]
Optim Methods Softw, 2022 Grapiglia GN, Nesterov Y.
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Minimizing Uniformly Convex Functions by Cubic Regularization of Newton Method. [PDF]
J Optim Theory Appl, 2021 Doikov N, Nesterov Y.
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GNMR: A Provable One-Line Algorithm for Low Rank Matrix Recovery. [PDF]
SIAM J Math Data Sci, 2022 Zilber P, Nadler B.
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