Results 31 to 40 of about 178,281 (234)
A Hybrid of DL and WYL Nonlinear Conjugate Gradient Methods
Abstract and Applied Analysis, 2014 The conjugate gradient method is an efficient method for solving large-scale nonlinear optimization problems. In this paper, we propose a nonlinear conjugate gradient method which can be considered as a hybrid of DL and WYL conjugate gradient methods ...
Shengwei Yao, Bin Qin
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Preconditioned Bi-Conjugate Gradient Method for Radiative Transfer in Spherical Media
, 2009 A robust numerical method called the Preconditioned Bi-Conjugate Gradient (Pre-BiCG)method is proposed for the solution of radiative transfer equation in spherical geometry.A variant of this method called Stabilized Preconditioned Bi-Conjugate Gradient ...
Asensio Ramos +24 more
core +2 more sources
On the continuity of the magnetizing current density in 3-D magnetic field analysis with edge element [PDF]
, 1995 The effects of the continuity of the magnetizing current density on the convergence of the incomplete Cholesky conjugate gradient method and the accuracy of the calculated flux densities are investigated by imposing different continuity conditions for ...
Fujiwara, Koji +3 more
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Two Versions of the Spectral Nonlinear Conjugate Gradient Method
Al-Mustansiriyah Journal of Science, 2018 The nonlinear conjugate gradient method is widely used to solve unconstrained optimization problems. In this paper the development of different versions of nonlinear conjugate gradient methods with global convergence properties proved.
Basim A. Hassan, Haneen A. Alashoor
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Three Proposed Hybrid Genetic Algorithms [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2013 Genetic Algorithm has been hybridized with classical optimization methods. Hybridization has been done in three approaches, by using conjugate gradient algorithm for Fletcher and Reeves, second by using steepest descent method and lastly by creation of ...
Ban Mitras, Nada Hassan
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Journal of Applied Mathematics, 2013 The conjugate gradient (CG) method has played a special role in solving large-scale nonlinear optimization problems due to the simplicity of their very low memory requirements.
Shengwei Yao, Xiwen Lu, Zengxin Wei
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Journal of Fluid Science and Technology, 2022 This paper proposes a new acceleration gradient method by addition of the Taylor expansion and conjugate direction to Nesterov’s acceleration gradient method.
Hiroaki ARATA +2 more
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A Bramble-Pasciak conjugate gradient method for discrete Stokes equations with random viscosity
, 2018 We study the iterative solution of linear systems of equations arising from stochastic Galerkin finite element discretizations of saddle point problems. We focus on the Stokes model with random data parametrized by uniformly distributed random variables ...
Lang, Jens +2 more
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Peptide‐based ligand antagonists block a Vibrio cholerae adhesin
FEBS Letters, EarlyView.The structure of a peptide‐binding domain of the Vibrio cholerae adhesin FrhA was solved by X‐ray crystallography, revealing how the inhibitory peptide AGYTD binds tightly at its Ca2+‐coordinated pocket. Structure‐guided design incorporating D‐amino acids enhanced binding affinity, providing a foundation for developing anti‐adhesion therapeutics ...
Mingyu Wang +9 more
wiley +1 more source
Two efficient modifications of AZPRP conjugate gradient method with sufficient descent property
Journal of Inequalities and Applications, 2022 The conjugate gradient method can be applied in many fields, such as neural networks, image restoration, machine learning, deep learning, and many others.
Zabidin Salleh +2 more
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