| 1. | The convergence for a class of conjugate gradient methods
一族共轭梯度算法的全局收敛性 |
| 2. | Global convergence of a new conjugate gradient methods with a modification of the curry - altman step - size rule
步长搜索一个新的共轭梯度算法的收敛性 |
| 3. | Global convergence results of a new three terms conjugate gradient method with generalized armijo step size rule
步长搜索的一类新的三项共轭梯度算法及其收敛特征 |
| 4. | The least square conjugate gradient and odd values decomposition method also can be used to perform tomographic inversion
研制的最小平方共轭梯度算法和奇异值分解法也可进行同样的层析反演。 |
| 5. | The cg algorithm does not require construction of the global matrix . it can be implemented efficiently on a abstract massively parallel architecture
共轭梯度算法不需要构造全局矩阵，它在大规模并行结构中能被有效地实现。 |
| 6. | The convergence theorem of a class of conjugate gradient algorithms is proven , which extend the main convergence theorem in gilbert and noceda ( 1992 )
讨论了一类共轭梯度算法的收敛性，推广了1992年gilbert和nocedal的收敛性结果。 |
| 7. | The high - vectorization of multinomial preprocessing conjugate gradient method makes it be effectively realized in large - scale parallel structure
多项式预处理共轭梯度算法的高度向量化，且不需要构造全局矩阵，它在大规模并行结构中能被有效地实现。 |
| 8. | Based on the papers [ 10 ] and [ 19 ] , we propose a new nonmonotone conjugate gradient algorithm , prove its convergence and test the new nonmonotone algorihm
基于文献[ 10 ]和[ 19 ] ，我们提出了一种新的非单调共轭梯度算法，证明了新算法的收敛性，并对它进行了测试。 |
| 9. | 6 . a mixed hs - fr conjugate gradient algorithm is proposed . two convergence theorems without the sufficient descent condition for the mixed hs - fr algorithm are given
给出了一个混合的hsfr共轭梯度算法，在无充分下降条件下，得到了关于hsfr算法的两个收敛性定理。 |
| 10. | The main work of the paper can be summarized as follows : 1 . a mixed hs - fr conjugate gradient algorithm is proposed . two convergence theorems without the sufficient descent condition for the mixed hs - fr algorithm are given
给出了一个混合的hs - fr共轭梯度算法，在无充分下降条件下，得到了关于hs - fr算法的两个收敛性定理。 |
