A Mixed Spectral CD‐DY Conjugate Gradient Method

Liu Jinkui, Du Xianglin and Wang Kairong

Journal of Applied Mathematics, 2012, vol. 2012, issue 1

Abstract: A mixed spectral CD‐DY conjugate descent method for solving unconstrained optimization problems is proposed, which combines the advantages of the spectral conjugate gradient method, the CD method, and the DY method. Under the Wolfe line search, the proposed method can generate a descent direction in each iteration, and the global convergence property can be also guaranteed. Numerical results show that the new method is efficient and stationary compared to the CD (Fletcher 1987) method, the DY (Dai and Yuan 1999) method, and the SFR (Du and Chen 2008) method; so it can be widely used in scientific computation.

Date: 2012
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https://doi.org/10.1155/2012/569795

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Persistent link: https://EconPapers.repec.org/RePEc:wly:jnljam:v:2012:y:2012:i:1:n:569795

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