conjugate gradient algorithm meaning in Chinese
共轭梯度算法
Examples
- The optimization design based on conjugate gradient algorithm in restricted condition
基于共轭梯度法的线性规划优化设计 - 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。 - 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。 - 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。 - 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。