iteration step meaning in Chinese
迭代步
Examples
- The iteration formula and determination of iteration step are set up according to a priori information of rock and concrete
建立了考虑先验信息的修正高斯-牛顿算法的迭代格式和迭代步长的确定方法。 - Some improvement are made on the ground of direct method , such as adding the outer iteration and adopting dynamic convergent criterion to accelerate it , introducing the iteration step factor , adding the flux criterion to main iteration , etc . compared with the other two computation methods , the modified direct method has the advantage of wide calculational range and high precision
在直接法的基础上作了几点改进，如引入参数使得主迭代中增加了外迭代并采用动态收敛判据加速迭代过程，引入步长调整因子f ，给主迭代收敛条件增加了通量判据等。 - Instead , there needs to store only the original coefficient matrix , some auxiliary matrices for the preconditioner and several vectors in the iteration methods . further , the core of the iteration is the matrix - vector multiplication and the solution of the auxiliary equations corresponding to the preconditioner . if the solution of the auxiliaries spend not very much , the computational cost in each iteration step will be very cheap , due to the fact that the sparsity of the matrix can be exploited sufficiently
与直接法相比，迭代法只需存储原系数矩阵、对应于预处理的几个辅助矩阵与少量几个向量，且迭代中除求解辅助线性方程组外，其余的计算主要是稀疏矩阵与向量乘积，从而能充分利用稀疏性减少计算量，但迭代法的收敛速度一般与系数矩阵的谱分布有关。 - The second part studies optimal pure proportional navigation ( ppn ) , with time - dependent gain of navigation to maneuvering target based on proportional navigation theory . optimal gain of navigation is constant for ppn without maneuvering ; based on this , solution of time - dependent gain of navigation is given by iteration approach , and the time required for capture is given , the times of iteration is decided by comparing this time with the iteration step
对目标机动的追逃问题,考虑导航增益可为任意实数,且随时间和初始条件改变,这一思想是建立在目标非机动的纯比例导引制导规律,最佳导航增益为常数的基础之上,利用迭代的方法,给出了时变的导航增益的求解方法,并给出了实现捕获所需的时间,用此时间与迭代步长进行比较,判定迭代次数。 - On one hand , from the technique of constrained least squares and limited energy of additive noise , an effective restored approach by adopting regularization method to overcoming ill - posed problem , solving an equation with a single variable , and using space iterative algorithm is proposed ; on the other hand , aiming at the restoration of blurred image , another effective restoration approach based on least - square algorithm is also proposed in this paper . this method firstly adopts increment iterative algorithm to improve convergence and meanwhile applies regularization technique to overcome ill - posed problem . in the computations , the regularized parameter has its adaptive character , which can be determined in terms of the restored image at each iteration step therefore automatically correct to the appropriate value
一是从约束最小二乘出发,在加性噪声能量有界的前提下,采用正则化方法来克服病态问题,通过解一个单变量方程,并利用空域迭代运算实现了一种有效的图像复原;二是针对模糊图像的复原问题,从最小二乘算法出发,采用增量迭代的方法改善算法的收敛性,同时结合正则化技术克服问题的病态性质,并引入自适应的正则化参数,使其与图像复原的迭代运算同步进行并自动修正到最优值。