关键词: conjugate gradient method, general Wolfe linear search, su±cient descent condition, global convergence

Abstract: Conjugate gradient method is one of successful methods for solving the unconstrained optimization problems. In this paper, absorbing the advantages of FR and CD methods, a hybrid conjugate gradient method is proposed. Under the general Wolfe linear searches, the proposed method can generate the sufficient descent direction at each iterate,and its global convergence property also can be established. Some preliminary numerical results show that the proposed method is effective and stable for the given test problems. 

Key words: conjugate gradient method, general Wolfe linear search, su±cient descent condition, global convergence