The spectral conjugate gradient method,as an extension of the classical conjugate gradient method,is one of the effective me-thods for solving large-scale unconstrained optimization problems.Based on the standard Wolfe line search criterion and sufficient de-scent condition,a FR type spectral conjugate gradient method with sufficient descent property is proposed.Under mild assumptions,the algorithm has global convergence.Finally,the new algorithm is compared with the existing modified FR type spectral conjugate gradient method,and numerical results show that the proposed algorithm is extremely effective.
维普
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