2007Journal of Guangxi Teachers Education UniversityRequires access

A New Conjugate Gradient Type Formula

Hong Ling

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Abstract

In this paper,we present a new conjugate gradient method for unconstrained optimization and proved that with the strong Wolfe line search the new method can support the global convergence result.At the same time,the new conjugate gradient algorithm satisfies the sufficient descent property.We also obtained better numerical results by this algorithm.

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What this paper is about

In this paper,we present a new conjugate gradient method for unconstrained optimization and proved that with the strong Wolfe line search the new method can support the global convergence result.At the same time,the new conjugate gradient algorithm satisfies the sufficient descent property.We also obtained better numerical results by this algorithm.

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Available abstract

In this paper,we present a new conjugate gradient method for unconstrained optimization and proved that with the strong Wolfe line search the new method can support the global convergence result.At the same time,the new conjugate gradient algorithm satisfies the sufficient descent property.We also obtained better numerical results by this algorithm.

Key concepts: Conjugate gradient method, Nonlinear conjugate gradient method, Conjugate residual method, Derivation of the conjugate gradient method, Mathematics, Gradient descent, Convergence (economics), Conjugate

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