释义 |
conjugate gradient method 共轭斜量[梯度]法 One of the most effective conjugate direction methods which is characterized by conjugating the redundant vector{rK},found from previous computation steps, to get the conjugate direction {PK}. As the vector {rK}is exactly the gradient of the equivalent function of the equation Ax=b:12(Ax,x)-(b,x),the conjugate direction{PK} can be obtained by gradient conjugation. 一种最有效的共轭方向法,其特点是将前几次计算得到的剩余向量{rK} 共轭化以求得共轭方向{PK}。由于剩余向量{rK}恰好是方程组Ax=b等价泛函的斜量:12(Ax,x)-(b,x),斜量共轭化 就可得到共轭方向{PK}。 |