nonlinear conjugate gradient method
A New Nonlinear Conjugate Gradient Method Based on the Scaled Matrix
... type nonlinear conjugate gradient method based on the Scale Matrix is ...new method has the decent and globally convergent properties under some ...this method to solve the given ...
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Modified nonlinear conjugate gradient method with sufficient descent condition for unconstrained optimization
... modified nonlinear conjugate gradient method for solving unconstrained optimization problems is ...modified method is that the generated direction in each step is always descending ...
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Optimal control based on nonlinear conjugate gradient method in cardiac electrophysiology
... the nonlinear conjugate gradient methods (Nagaiah et ...Newton method (Nagaiah and Kunisch, 2011). Nonlinear conjugate gradient method has computational advantage ...
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A New Descent Nonlinear Conjugate Gradient Method for Unconstrained Optimization
... new nonlinear conjugate gradient method is proposed for large-scale unconstrained optimiza- ...this method is proved to be globally ...
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An efficient modification of the Hestenes Stiefel nonlinear conjugate gradient method with restart property
... convergence properties of the CG method with the Wolfe-Powell line search if the descent condition is not satisfied. In this paper, we use the original HS CG formula with a mild condition to construct a CG ...
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Semiparametric Mean Field Variational Bayes: General Principles and Numerical Issues
... the nonlinear conjugate gradient method (Algorithm 5) with natural gradients rather than ordinary ...the nonlinear conjugate gradient method which has been shown to ...
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An alternative conjugate gradient approach for large-scale symmetric nonlinear equations
... Abstract. Nonlinear conjugate gradient method is a popular approach for solving large-scale unconstrained op- timization problems due to its simplest iterative form and low storage ...
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A New Conjugancy Coefficient of Conjugate Gradient Method
... The nonlinear conjugate gradient method is a very useful technique for solving large scale minimization problems and has wide applications in many ...The Conjugate Gradient ...
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Global convergence of a modified conjugate gradient method
... The nonlinear conjugate gradient method is one of the best methods to solve uncon- strained optimization ...modified nonlinear conjugate gradient method is proposed ...
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Numerical Solution for PDE Constrained Optimization Problem in Cardiac Electrophysiology
... The modified Dai-Yuan nonlinear conjugate gradient method is employed for computing the optimal applied current, and our numerical results show that the excitation wavefront is successfu[r] ...
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A double direction conjugate gradient method for solving large-scale system of nonlinear equations
... of nonlinear equations and compare its performance with that of Inexact PRP (IPRP) method for symmetric nonlinear equations ...system nonlinear system of ...proposed method using a non ...
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A family of conjugate gradient methods for large scale nonlinear equations
... In this section, numerical results are provided to substantiate the efficacy of the proposed method. The codes are written in Mablab Ra and run on a personal computer with . GHz CPU processor. For comparison, ...
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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 ...
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Line search fixed point algorithms based on nonlinear conjugate gradient directions: application to constrained smooth convex optimization
... There are useful algorithms for solving Problem (.), such as the Krasnosel’ski˘ı-Mann algorithm [], Subchapter ., [], Subchapter ., [–], the Halpern algorithm [], Sub- chapter ., [, ], and the hybrid ...
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Root finding of a system of nonlinear equations using the combination of newton, conjugate gradient and quadrature methods
... of nonlinear equations. However, the method does not converge or fail if the Jacobian matrix is near to zero or ...Newton’s method is expected to converge with initial values that is close to the ...
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Vol 3, No 12 (2012)
... unconstrained nonlinear minimization problems arising in the diversified field of engineering and technology, we have several methods to get ...multi-step nonlinear conjugate gradient methods ...
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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 ...
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Alternate Iterative Algorithms for Minimization of Non-linear Functions
... step nonlinear conjugate gradient methods [3], a scaled nonlinear conjugate gradient algorithm[1], a method called, ABS-MPVT algorithm [12] are used for solving ...
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A DESCENT PRP CONJUGATE GRADIENT METHOD FOR UNCONSTRAINED OPTIMIZATION
... the nonlinear conjugate gradient ...a conjugate gradient method may not be a descent ...PRP conjugate gradient method has the sufficient descent property and ...
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A STUDY ON CERTAIN NEW NUMERICAL ALGORITHMS FOR MINIMIZATION OF NON LINEAR FUNCTIONS
... unconstrained nonlinear minimization problems arising in the diversified field of engineering and technology, we have several methods to get ...multi-step nonlinear conjugate gradient methods ...
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