A spectral RMIL+ conjugate gradient method for unconstrained optimization with applications in portfolio selection and motion control

AM Awwal, IM Sulaiman, M Malik, M Mamat… - IEEE …, 2021 - ieeexplore.ieee.org
The Spectral conjugate gradient (SCG) methods are among the efficient variants of CG
algorithms which are obtained by combining the spectral gradient parameter and CG …

3-D inversion based on the particle swarm optimization-quasi-Newton hybrid algorithm for SOTEM

G Xue, Y He, W Chen, X Wu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The short offset transient electromagnetic method (SOTEM) has become one of the main
methods for coal hydrogeology investigations and mineral explorations due to its …

Three-dimensional inversion of semi-airborne transient electromagnetic data based on a particle swarm optimization-gradient descent algorithm

Y He, G Xue, W Chen, Z Tian - Applied Sciences, 2022 - mdpi.com
Semi-airborne transient electromagnetics (SATEM) is a geophysical survey tool known for its
ability to perform three-dimensional (3D) observations and collect high-density data in large …

Lévy gradient descent: Augmented random search for geophysical inverse problems

Y Zhang, Y Xu, B Yang - Surveys in Geophysics, 2021 - Springer
A new efficient random search algorithm is introduced for solving inversion problems in
geophysical studies. The proposed algorithm is inherently a stochastic optimization method …

A new hyhbrid coefficient of conjugate gradient method

NS Mohamed, M Mamat, M Rivaie, SM Shaharudin - 2020 - ir.unikl.edu.my
Hybridization is one of the popular approaches in modifying the conjugate gradient method.
In this paper, a new hybrid conjugate gradient is suggested and analyzed in which the …

An energy minimization strategy based on an improved nonlinear conjugate gradient method for accelerating the charged polymer dynamics simulation

H Lin, Y Shi, E Shang, S Dai - Physical Chemistry Chemical Physics, 2023 - pubs.rsc.org
Using a hybrid simulation method that combines a non-linear conjugate gradient (NCG)
method for solving large-scale unconstrained optimization problems with a Brownian …

Geophysical inversions on unstructured meshes using non-gradient based regularization

Y Zhang, Y Xu, B Yang, WD Mooney… - Geophysical Journal …, 2022 - academic.oup.com
Geophysical inverse problems are commonly ill-posed and require proper regularization to
gain acceptable solutions. Adopting constraints on the smoothness and/or specified …

Three-dimensional inversion for short-offset transient electromagnetic data based on 3D U-Net

Y Zhao, X Wu, W Chen, J Xue… - Journal of Geophysics and …, 2024 - academic.oup.com
The short-offset transient electromagnetic (SOTEM) method carries out surveys in the near
source region; the strong signal makes it suitable for deep detection with high precision …

New hybrid conjugate gradient method with global convergence properties for unconstrained optimization

Y Salih, MA Hamoda, M Rivaie - Malaysian Journal of …, 2018 - journal.unisza.edu.my
Nonlinear conjugate gradient (CG) method holds an important role in solving large-scale
unconstrained optimization problems. In this paper, we suggest a new modification of CG …

[PDF][PDF] A linear hybridization of Dai-Yuan and Hestenes-Stiefel conjugate gradient method for unconstrained optimization

S Narayanan, P Kaelo - Numerical Mathematics-Theory Methods …, 2021 - doc.global-sci.org
Conjugate gradient methods are interesting iterative methods that solve large scale
unconstrained optimization problems. A lot of recent research has thus focussed on …