Conjugate Gradient (CG)
High-Resolution Source Localization Algorithm Based on the Conjugate Gradient
... This paper proposes a new algorithm for the direction of arrival (DOA) estimation of P radiating sources. Unlike the classical subspace-based methods, it does not resort to the eigendecomposition of the covariance matrix ...
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Moving force identification based on modified preconditioned conjugate gradient method
... preconditioned conjugate gradient (PCG) algorithm have been widely used since their numerical behaviour can be explained by an elegant mathematical ...
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Global convergence of a modified conjugate gradient method
... When the objective function is convex, Polak and Ribière [] proved that the PRP method is globally convergent under the exact line search. But Powell [] showed that the PRP method does not converge globally for some ...
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A hybrid conjugate gradient method for optimization problems
... the conjugate gradient(CG) method is a powerful line search method because of its simplicity and its very low memory requirement, especially for the large scale opti- mization problems [22,23,27], which can ...
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A New Preconditioned Conjugate Gradient Method for Optimization
... Abstract— A new hybrid Conjugate Gradient (CG) method that generates weighted search directions is proposed in this paper. The weighting matrix is a two-step quasi-Newton update matrix that approximates ...
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Computed Tomography Medical Image Compression using Conjugate Gradient
... work, Conjugate gradient and gradient descent techniques that are based on artificial neural network is applied for compressing the CT scan of lower abdomen medical ...In conjugate ...
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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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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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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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3. A New Conjugate Gradient for Nonlinear Unconstrained Optimization
... The conjugate gradient method is a very useful technique for solving minimization problems and has wide applications in many ...new conjugate gradient methods by) for nonlinear unconstrained ...
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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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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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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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A family of conjugate gradient methods for large scale nonlinear equations
... spectral gradient projection method for constrained nonlinear ...the conjugate gradient method for solving the non-monotone problem ...well-known conjugate gradient method for the ...
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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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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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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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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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