Conjugate Gradient
Computed Tomography Medical Image Compression using Conjugate Gradient
... conjugate gradient. Various update parameters are considered in conjugate gradient ...between Conjugate gradient technique and Gradient Descent ...
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Study of Conjugate Gradient in WDA SMACOF and Fixed Points
... When analyzing the time cost of WDA-SMACOF, Conjugate Gradient is the most time consuming part of WDA-SMACOF algorithm if there are multiple CG iteration per SMACOF iteration.. The CG co[r] ...
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Optimal control based on nonlinear conjugate gradient method in cardiac electrophysiology
... This research attempts to solve OCPMM using modified and hybrid nonlinear conjugate gradient methods. These two groups of optimization methods are proved to be superior to the classical methods in terms of ...
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3. A New Conjugate Gradient for Nonlinear Unconstrained Optimization
... new conjugate gradient formula and algorithm method presented, in section 3, we showed the descent condition and the global convergence proof of our new ...
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A DESCENT PRP CONJUGATE GRADIENT METHOD FOR UNCONSTRAINED OPTIMIZATION
... PRP conjugate gradient method has sufficient descent property and ensures that the PRP conjugate gradient method AN1 is globally convergent for general functions under proper ...
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A nonmonotone hybrid conjugate gradient method for unconstrained optimization
... The paper is organized as follows. A new nonmonotone hybrid conjugate gradient al- gorithm is presented and the global convergence of the algorithm is proved in Section . The line convergence rate of the ...
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Three New Hybrid Conjugate Gradient Methods for Optimization
... efficient conjugate gradient me- thods since these methods essentially perform a restart if a bad direction ...nonlinear conjugate gradient method are ...
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A family of conjugate gradient methods for large scale nonlinear equations
... In this paper, we present a family of conjugate gradient projection methods for solving large-scale nonlinear equations. At each iteration, it needs low storage and the subproblem can be easily solved. ...
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Dai Kou type conjugate gradient methods with a line search only using gradient
... type conjugate gradient methods in the setting of unconstrained minimization ...nonlinear conjugate gradient methods are identified by the definitions of the parameter β k in ...
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A New Conjugancy Coefficient of Conjugate Gradient Method
... The conjugate gradient method is a suitable approach to solving large scale minimization ...the conjugate gradient method with exact line searches has the finite convergence ...the ...
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Root finding of a system of nonlinear equations using the combination of newton, conjugate gradient and quadrature methods
... method, conjugate gradient method and quadrature ...Newton, conjugate gradient and quadrature ...and conjugate gradient where it is called preconditioned conjugate ...
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SCALED CONJUGATE GRADIENT NEURAL NETWORK MODELLING FOR PREDICTION OF CBR OF SOILS
... scaled conjugate gradient algorithm by considering the role of learning cycles and network ...Scaled conjugate gradient; mean square error; california bearing ratio; learning ...
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A Modified FR Conjugate Gradient Method with Strong Wolfe Line Search
... FR conjugate gradient method has been disclosed, whose algorithm satisfies the descent property and the global convergence of this method can be guaranteed under some mild ...
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Moving force identification based on modified preconditioned conjugate gradient method
... In other words, 𝐐 is guaranteed to be nearly orthogonal only when 𝐀 is a well-conditioned matrix. The CGS fails to satisfy the bound of equation (19) and the columns of 𝐐 may depart from orthogonality to an almost ...
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Numerical Experiments with the Lagrange Multiplier and Conjugate Gradient Methods (ILMCGM)
... Computationally, the resulting algorithm from the Lagrange Multiplier Method imbedded in Conjugate Gradient Method was tested on some constrained optimization problems of two, three and four variables. The ...
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A New Descent Nonlinear Conjugate Gradient Method for Unconstrained Optimization
... In this paper, a new nonlinear conjugate gradient method is proposed for large-scale unconstrained optimiza- tion. The sufficient descent property holds without any line searches. We use some steplength ...
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A scaled three term conjugate gradient method for unconstrained optimization
... classical conjugate gradi- ent methods PRP [] and FR [] can be seen as memoryless BFGS (see Shanno ...three-term conjugate gradient method by incorporating the DFP updating scheme of the inverse ...
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A hybrid conjugate gradient method for optimization problems
... where k is a scalar which determines the differ- ent conjugate gradient methods [4,5,8,9,12,13,15,16,18, 20,21,25,33] etc., and g k is the gradient of f x ( ) at the point x k . The well-known ...
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A Conjugate Gradient Method for Unconstrained Optimization Problems
... A hybrid method combining the FR conjugate gradient method and the WYL conjugate gradient method is proposed for unconstrained optimization problems. The presented method possesses the ...
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A New Nonlinear Conjugate Gradient Method Based on the Scaled Matrix
... The structure of the paper is as follows. In section 2, we present the new conjugate gradient method and new Algorithm. Section 3 global Convergence is studied. In Section 4, numerical results are presented ...
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