两类无约束优化的充分下降共轭梯度法

摘要

对无约束优化问题提出两类新的充分下降共轭梯度法.在每次迭代过程中,算法均可得到充分下降方向.在适当条件下,证明了算法的全局收敛性.数值结果表明算法可行、有效.%We proposed two sufficient descent conjugate gradient methods for unconstrained optimization. The sufficient descent direction is always obtained at each iteration. Under some suitable conditions, the global convergence can be induced. Numerical results show that these methods are feasible and effective.