Results 21 to 30 of about 213 (150)
A new smoothing method for solving nonlinear complementarity problems
Open Mathematics, 2019 In this paper, a new improved smoothing Newton algorithm for the nonlinear complementarity problem was proposed. This method has two-fold advantages. First, compared with the classical smoothing Newton method, our proposed method needn’t nonsingular of ...
Zhu Jianguang, Hao Binbin
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A New Filled Function for Global Optimization
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2023 The filled function method has recently become very popular in optimization theory, as it is an e cient and e ective method for finding the global minimizer of multimodal functions.
Şahiner Ahmet +2 more
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Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2021 In this paper, in the setting of Hadamard spaces, a iterative scheme is proposed for approximating a solution of the inclusion problem for a finite family of monotone operators which is a unique solution of a variational inequality.
Ranjbar Sajad
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Optimization of Univariate Functions on Bounded Intervals by Interpolation and Semidefinite Programming [PDF]
, 2006 AMS classifications: 65D05; 65K05 ...
den Hertog, D. +2 more
core
A comparison of four approaches from stochastic programming for large-scale unit-commitment
EURO Journal on Computational Optimization, 2017 In energy management, the unit-commitment problem deals with computing the most cost-efficient production schedule that meets customer load, while satisfying the operational constraints of the units.
Wim van Ackooij
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An Inertial Three‐Term Conjugate Gradient Projection Method With Applications
Journal of Mathematics, Volume 2026, Issue 1, 2026.This paper introduces a robust inertial three‐term projection method for solving monotone nonlinear equations. The proposed approach extends existing nonlinear conjugate gradient (CG) methods for unconstrained optimization with inexact line search by incorporating an inertial mechanism and a redesigned three‐term search direction to enhance numerical ...
Muhammad Abdullahi +7 more
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Matrix-Norm Approach of Computing Levenberg-Marquardt Reg- ularization Parameter for Nonlinear Equations [PDF]
, 2019 In this paper, we present Levenberg-Marquardt method for solving nonlinear systems of equations. Here, both the objective function and the symmetric Jacobian matrix are assumed to be Lipchitz continuous.
Musa, Yau Balarabe, Waziri, M. Y.
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Hybrid conjugate gradient-BFGS methods based on Wolfe line search
, 2022 In this paper, we present some hybrid methods for solving unconstrained optimization problems. These methods are defined using proper combinations of the search directions and included parameters in conjugate gradient and quasi-Newton method of Broyden ...
DJAMEL, Benterki, SAMIA, Khelladi
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EURO Journal on Computational Optimization, 2016 We analyze the proximal alternating linearized minimization algorithm (PALM) for solving non-smooth convex minimization problems where the objective function is a sum of a smooth convex function and block separable non-smooth extended real-valued convex ...
Ron Shefi, Marc Teboulle
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Infant Mental Health Journal: Infancy and Early Childhood, Volume 45, Issue 2, Page 234-246, March 2024.Abstract Improving parental sensitivity is an important objective of interventions to support families. This study examined reliability and validity of parental sensitivity ratings using a novel package of an e‐learning tool and an interactive decision tree provided through a mobile application, called the OK! package.
Mirte L. Forrer +3 more
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