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- Linear Convergence Rate of Supermemory Gradient Method 超记忆梯度算法的线性收敛速度
- Based on the theories on nonsmooth optimization, convergent rate of the algorithm TR is appraised, and its linear convergent is proved. 摘要以非光滑优化理论为基础，对算法TR的收敛速度作了估计，并证明了算法的线性收敛性。
- A Class of Global Convergent Memory Gradient Methods and Its Linear Convergence Rate 一类全局收敛的记忆梯度法及其线性收敛性
- V-P and K-P.To increase convergence rate of Meth. 为了提高K-P法的收 敛速度及收敛精度。
- We obtain an upper bounded estimate for the convergence rate of the piecewise linear interpolation. 摘要给出了分段线性插值收敛速度的一种估计。
- The super linear convergence of the least change secant algorithm proposed by Dennis and Wolkowicz is studied. 探讨由 Dennis和 Wolkowicz提出的最小改变割线算法的超线性收敛性 .
- N step restart conjugate gradient routine is used to speed up the convergence rate. 使用n步重新开始的共轭梯度法可以提高算法的收敛速度。
- The CCAB algorithm of DBF has high convergence rate in the case of relatively high SINR. 数字波束形成算法中,CCAB算法在较高信干噪比条件下具有一定优势。
- Simulation result of the XOR problem shows much faster convergence rate can be obtained by this algorithm. 异或问题的仿真结果表明,该方法具有较快的收敛速度。
- Then the optimal convergence rate of the cascadic multigrid for the velocity is proven. 最后，我们证明了瀑布型多重网格对速度的最优收敛性。
- The algorithm resetting of the convergence of the conjugate gradient is also employed to speed up the convergence rate. 还采用重置共扼梯度法加快了算法的收敛速度。
- On L1 convergence rate of Grunwald interpolation operators [J].J of Pure and Applied Math, 1998, 14(3): 55-59. Grunwald插值算子的收敛速度[J].;纯粹数学与应用数学;1998;14(3):55-59
- Experimental results show that the algorithm has higher convergence rate and lower misadjustment as compared with other algorithms. 实验表明,该算法与其它算法比较,具有更高的收敛率和较低的失调。
- Compared with the conventional perceptron nerual network, its convergence rate is faster, and it is more robust to the circumstance change. 与传统的基于反向传播算法的感知器神经网络相比，径向基函数网络具有收敛速度快，对环境变化不敏感等优点。
- Convergent rate of certain neural network models s. N. 一类神经网络模型的平衡点的收敛速率。
- The convergence rate of subspace iteration method used to compute eigenvalues problem is confined when the distribution range of eigenvalues is large. 而求解特征值问题的子空间迭代法，当矩阵的特征值的分布范围较大时，其收敛速度会受到限制。
- Method of pagerank planar linear convergence Pagerank二维线性收敛方法
- At the same time, double deflation algorithms are also proposed to separate more signals in turn.In contrast to KMA convergence rate is improved. 同时,提出了两种复数抽气算法,配合一元信号盲分拣算法可以依次分离多个信号源,仿真试验验证了算法的有效性。
- During the search process of PSO, the chaotic local optimizer was introduced to raise its resulting precision and convergence rate. 然后，在PSO的搜索过程中引入混沌局部搜索策略，来提高解的精度和收效速度。
- FDPM's application shows that its convergence rate is very quick.The iterative number of FPDM equals to about one third of the former method. 实际应用表明，快速投影分解法的收敛速度大大加快，其迭代次数大约只有原来的三分之一左右。
