Results 31 to 40 of about 12,511,953 (289)
The new spectral conjugate gradient method for large-scale unconstrained optimisation
Journal of Inequalities and Applications, 2020 The spectral conjugate gradient methods are very interesting and have been proved to be effective for strictly convex quadratic minimisation. In this paper, a new spectral conjugate gradient method is proposed to solve large-scale unconstrained ...
Li Wang +3 more
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A New Modified Conjugate Gradient for Nonlinear Minimization Problems
Science Journal of University of Zakho, 2022 The conjugate gradient is a highly effective technique to solve the unconstrained nonlinear minimization problems and it is one of the most well-known methods. It has a lot of applications.
Hussein Ageel Khatab, Salah G. Sharef
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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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A new conjugate gradient method for acceleration of gradient descent algorithms
Moroccan Journal of Pure and Applied Analysis, 2021 An accelerated of the steepest descent method for solving unconstrained optimization problems is presented. which propose a fundamentally different conjugate gradient method, in which the well-known parameter βk is computed by an new formula.
Rahali Noureddine +2 more
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New conjugate gradient method for unconstrained optimization [PDF]
, 2016 In this paper, a new conjugate gradient method is proposed for large-scale unconstrained optimization. This method includes the already existing three practical nonlinear conjugate gradient methods, which produces a descent search ...
Chaib, Yacine +3 more
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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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FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
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Computing several eigenpairs of Hermitian problems by conjugate gradient iterations
, 2008 The paper is concerned with algorithms for computing several extreme eigenpairs of Hermitian problems based on the conjugate gradient method. We analyse computational strategies employed by various algorithms of this kind reported in the literature and ...
Ovtchinnikov, E.
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Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
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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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