Results 41 to 50 of about 1,405 (117)

A modification of the αBB method for box-constrained optimization and an application to inverse kinematics

open access: yesEURO Journal on Computational Optimization, 2016
For many practical applications it is important to determine not only a numerical approximation of one but a representation of the whole set of globally optimal solutions of a non-convex optimization problem.
Gabriele Eichfelder   +2 more
doaj   +1 more source

A New Filled Function for Global Optimization

open access: yesAnalele 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
doaj   +1 more source

On nonlinear variational inequalities

open access: yesInternational Journal of Mathematics and Mathematical Sciences, Volume 14, Issue 2, Page 399-402, 1991., 1990
The fixed point technique is used to prove the existence of a solution for a class of nonlinear variational inequalities related with odd order constrained boundary value problems and to suggest an iterative algorithm to compute the approximate solution.
Muhammed Aslam Noor
wiley   +1 more source

Soft Capacitors for Wave Energy Harvesting

open access: yes, 2011
Wave energy harvesting could be a substantial renewable energy source without impact on the global climate and ecology, yet practical attempts have struggle d with problems of wear and catastrophic failure.
Abel, Markus   +4 more
core   +1 more source

Multifacility location problems on a sphere

open access: yesInternational Journal of Mathematics and Mathematical Sciences, Volume 10, Issue 3, Page 583-595, 1987., 1987
A unified approach to multisource location problems on a sphere is presented. Euclidean, squared Euclidean and the great circle distances are considered. An algorithm is formulated and its convergence properties are investigated.
Turgut Aykin, A. J. G. Babu
wiley   +1 more source

The Forward-Backward-Forward Method from continuous and discrete perspective for pseudo-monotone variational inequalities in Hilbert spaces

open access: yes, 2020
Tseng's forward-backward-forward algorithm is a valuable alternative for Korpelevich's extragradient method when solving variational inequalities over a convex and closed set governed by monotone and Lipschitz continuous operators, as it requires in ...
Bot, Radu Ioan   +2 more
core   +1 more source

A modified RMIL conjugate gradient-based projection algorithm for constrained nonlinear equations: application to image denoising

open access: yesDemonstratio Mathematica
In this paper, a modified Rivaie-Mohd-Ismail-Leong (RMIL) conjugate gradient-based projection algorithm for constrained nonlinear equations is proposed, which integrates projection techniques and line search approaches to enhance solution accuracy and ...
Wang Kai, Li Dandan, Wang Songhua
doaj   +1 more source

A new branch and bound algorithm for minimax ratios problems

open access: yesOpen Mathematics, 2017
This study presents an efficient branch and bound algorithm for globally solving the minimax fractional programming problem (MFP). By introducing an auxiliary variable, an equivalent problem is firstly constructed and the convex relaxation programming ...
Zhao Yingfeng, Liu Sanyang, Jiao Hongwei
doaj   +1 more source

Hair fragility (trichorrhexis nodosa) in alopecic Pomeranian dogs

open access: yesVeterinary Dermatology, Volume 36, Issue 1, Page 64-73, February 2025.
Background – Alopecia associated with hair cycle arrest (HCA, Alopecia X) is well‐recognised in Pomeranian dogs. The authors are unaware of reports of hair fragility in affected dogs. Hypothesis/Objectives – Following the observation of frequent hair shaft abnormalities in alopecic Pomeranians, we hypothesised that hair fragility events would be more ...
Erin Brennan   +6 more
wiley   +1 more source

Modified four-term conjugate gradient method with applications in image restoration and regression problem

open access: yesDemonstratio Mathematica
The conjugate gradient (CG) method is recognized for resolving unconstrained optimization problems because of its efficiency, robustness, and minimal memory demands.
Masmali Sultanah   +4 more
doaj   +1 more source

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