Results 241 to 250 of about 819,121 (316)
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An efficient hybrid conjugate gradient method for unconstrained optimization
Optimization Methods and Software, 2022In this paper, we propose a hybrid conjugate gradient method for unconstrained optimization, obtained by a convex combination of the LS and KMD conjugate gradient parameters.
A. Ibrahim +3 more
semanticscholar +3 more sources
International Journal of Heat and Mass Transfer, 2019
In order to analyze the heat conduction problem of composite materials in aerospace engineering, a modified conjugate gradient method is proposed to identify the physical parameters of transient heat conduction problems in this paper.
Kai Yang +4 more
semanticscholar +3 more sources
In order to analyze the heat conduction problem of composite materials in aerospace engineering, a modified conjugate gradient method is proposed to identify the physical parameters of transient heat conduction problems in this paper.
Kai Yang +4 more
semanticscholar +3 more sources
A New Conjugate Gradient Method with Guaranteed Descent and an Efficient Line Search
SIAM Journal on Optimization, 2005W. Hager, Hongchao Zhang
semanticscholar +3 more sources
WIREs Computational Statistics, 2001
AbstractThe conjugate gradient (CG) method for optimization and equation solving is described, along with three principal families of algorithms derived from it. In each case, a foundational CG algorithm is formulated mathematically and followed by a brief discussion of refinements and variants within its family.
Saul I. Gass, Carl M. Harris
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AbstractThe conjugate gradient (CG) method for optimization and equation solving is described, along with three principal families of algorithms derived from it. In each case, a foundational CG algorithm is formulated mathematically and followed by a brief discussion of refinements and variants within its family.
Saul I. Gass, Carl M. Harris
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A Nonlinear Conjugate Gradient Method with a Strong Global Convergence Property
SIAM Journal on Optimization, 1999Yuhong Dai, Ya-Xiang Yuan
semanticscholar +3 more sources
A new spectral conjugate gradient method for large-scale unconstrained optimization
Optimization Methods and Software, 2017J. Jian +4 more
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The convergence properties of RMIL+ conjugate gradient method under the strong Wolfe line search
Applied Mathematics and Computation, 2020In Dai (2016), based on the global convergence of RMIL conjugate gradient method, Dai has modified it and called the modified version RMIL+ which has good numerical results and globally convergent under the exact line search.
O. Yousif
semanticscholar +1 more source
, 2020
In this paper, a sequential conjugate gradient method is presented to reconstruct the undetermined surface heat flux for nonlinear inverse heat conduction problem (IHCP).
Ping Xiong +5 more
semanticscholar +1 more source
In this paper, a sequential conjugate gradient method is presented to reconstruct the undetermined surface heat flux for nonlinear inverse heat conduction problem (IHCP).
Ping Xiong +5 more
semanticscholar +1 more source
A sufficient descent nonlinear conjugate gradient method for solving M-tensor equations
Journal of Computational and Applied Mathematics, 2020Tensor equations is a kind of important tensor optimization problems with higher order nonlinear equations, which are widely used in engineering and economics. This paper is concerned with solving M -tensor equations.
Jiankun Liu, S. Du, Yuan-yuan Chen
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Applied Numerical Mathematics, 2021
In this paper, a derivative-free R M I L conjugate gradient projection method for solving large-scale nonlinear monotone equations with convex constraints is proposed. The proposed method is a modification of an R M I L conjugate gradient method combined
M. Koorapetse +3 more
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In this paper, a derivative-free R M I L conjugate gradient projection method for solving large-scale nonlinear monotone equations with convex constraints is proposed. The proposed method is a modification of an R M I L conjugate gradient method combined
M. Koorapetse +3 more
semanticscholar +1 more source

