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梯度算法

"梯度算法"的翻译和解释

例句与用法

  • In this control structure , an svm is used as identifier , the control signal is solved by an exponentiated gradient algorithm
    该控制结构以支持向量机为辨识器,并用指数梯度算法来求控制作用。
  • Hill climbing algorithms try to optimize an object , in this case the plugboard settings , by changing the object step by step
    梯度算法逐步对对象(在此情况下为线路连接板设置)进行改变,以此来优化对象。
  • Fourthly , multi - parameter control methods , super - memory gradient methods for solving sub - unconstrained optimization problems are investigated
    四是提出多参数控制算法和求解子问题的超记忆梯度算法
  • 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。
  • 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。
  • 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。
  • 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。
  • At last , the projected gradient algorithm is used in the cdma maximum likelihood multiuser detection . the experiment shows that the method is a good method for the cdma
    最后把投影梯度算法用于求解多用户检测问题,仿真实验表明该方法是求解多用户检测问题的一个很好的方法
  • 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。
  • 更多例句:  1  2  3  4  5
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