A Nonlinear Conjugate Gradient Method under Exact Line Search
精确搜索下的非线性共轭梯度法

The paper presents a nonlinear conjugate gradient method for unconstrained optimization problem, and proves its global convergence under exact line searches. The linear convergence rate is investigated when the objective function is uniformly convex. Numerical experiments show that the new algorithm is effective in practice.