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Convergence of the descent nonlinear conjugate gradient methods. (Chinese. English summary) Zbl 1224.90167
Summary: Conjugate gradient methods are typically used to solve large scale unconstrained optimization problems. Two descent conjugate gradient methods are proposed, and the global convergence with standard Wolfe conditions is proved. The numerical results show that the methods are efficient for the given test problems.
MSC:
90C30 Nonlinear programming
65K05 Numerical mathematical programming methods
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