Results 11 to 20 of about 5,505 (195)

On q-Quasi-Newton’s Method for Unconstrained Multiobjective Optimization Problems

open access: yesMathematics, 2020
A parameter-free optimization technique is applied in Quasi-Newton’s method for solving unconstrained multiobjective optimization problems. The components of the Hessian matrix are constructed using q-derivative, which is positive definite at every ...
Kin Keung Lai   +2 more
doaj   +1 more source

Classification of the Types of Defects in Steam Generator Tubes using the Quasi-Newton Method [PDF]

open access: yesJournal of Electrical Engineering and Technology, 2010
Multi-layer perceptron neural networks have been constructed to classify four types of defects in steam generator tubes. Three features are extracted from the signals of the eddy current testing method. These include maximum impedance, phase angle at the point of maximum impedance, and an angle between the point of maximum impedance and the point of ...
Joon-Pyo Lee, Nam-H. Jo, Young-Su Roh
openaire   +1 more source

On the construction of minimisation methods of quasi-Newton type

open access: yesJournal of Computational and Applied Mathematics, 1987
The paper investigates possibilities for the formulation of new quasi- Newton type methods. In doing so the so-called secant equation of the classical quasi-Newton algorithms is replaced by a more general equation. In this way it is possible to give a nonlinear approximation of the Newton equation, the solution of which corresponds to the Newton search
Ford, John A., Saadallah, Adel F.
openaire   +1 more source

Investigation of critical load of structures using modified energy method in nonlinear-geometry solid mechanics problems

open access: yesNonlinear Engineering, 2022
Geometrically nonlinear analysis is required for resolving issues such as loading causes failure and structure buckling analysis. Although numerical methods are recommended for estimating the exact solution, they lack the necessary convergence in the ...
Razaghi Ahmad   +2 more
doaj   +1 more source

Assessment of ANN Algorithms for the Concentration Prediction of Indoor Air Pollutants in Child Daycare Centers

open access: yesEnergies, 2022
As the time spent by people indoors continues to significantly increase, much attention has been paid to indoor air quality. While many IAQ studies have been conducted through field measurements, the use of data-driven techniques such as machine learning
Jeeheon Kim   +3 more
doaj   +1 more source

A Modified Algorithm Based on Haar Wavelets for the Numerical Simulation of Interface Models

open access: yesJournal of Function Spaces, 2022
In this paper, a new numerical technique is proposed for the simulations of advection-diffusion-reaction type elliptic and parabolic interface models.
Gule Rana   +6 more
doaj   +1 more source

An Approximate Quasi-Newton Bundle-Type Method for Nonsmooth Optimization

open access: yesAbstract and Applied Analysis, 2013
An implementable algorithm for solving a nonsmooth convex optimization problem is proposed by combining Moreau-Yosida regularization and bundle and quasi-Newton ideas. In contrast with quasi-Newton bundle methods of Mifflin et al. (1998), we only assume that the values of the objective function and its subgradients are evaluated approximately, which ...
Shen, Jie, Pang, Li-Ping, Li, Dan
openaire   +4 more sources

Appraisal of the Magnetotelluric and Magnetovariational Transfer Functions’ Selection in a 3-D Inversion

open access: yesRemote Sensing, 2023
Magnetotelluric (MT) and magnetovariational (MV) sounding are two principal geophysical methods used to determine the electrical structure of the earth using natural electromagnetic signals.
Hui Yu   +6 more
doaj   +1 more source

Numerical investigation of unconditionally stable spline function for three-dimensional time-fractional telegraph equations

open access: yesResults in Control and Optimization, 2022
Telegraph equations are hyperbolic partial differential equations that may be used to represent reaction–diffusion processes in a variety of engineering and biological disciplines.
Uday Singh
doaj   +1 more source

Employing a Monte Carlo algorithm in Newton-type methods for restricted maximum likelihood estimation of genetic parameters.

open access: yesPLoS ONE, 2013
Estimation of variance components by Monte Carlo (MC) expectation maximization (EM) restricted maximum likelihood (REML) is computationally efficient for large data sets and complex linear mixed effects models.
Kaarina Matilainen   +4 more
doaj   +1 more source

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