However different kinds of iterative algorithms have been shown imperfect in theoretical analysis and computational practice these years . therefore , it has great significance to reduce computational complexity and pursuit elegant method as possible as we can 在实际应用中,许多线性规划问题的约束条件具有特殊的结构,使得有可能找到比较简单的方法来求解,节约大量的计算时间和费用。
In this paper a motion compensation iterative algorithm is designed base on the multiple input restoration algorithm for enhancing the resolution of monochrome and color image sequences . various approaches toward motion estimation are investigated and compared 本文设计了基于多帧输入复原算法的运动补偿迭代算法以提高单色和彩色图像序列的分辨率,并对各种运动估计方法进行了研究和比较。
In this paper we propose an iterative algorithm to find the optimal combination of pseudorandom and deterministic test sets of the whole system , consisting of multiple cores , under given memory constraints , so that the total test time is minimized 与此同时为了减少测试成本以及产品上市时间,测试时间必须被最小化。在混合的bist方法中,伪随机向量的长度是决定整个测试过程的行为的一个重要参数。
In industry application , however , incomplete projections can only be obtained , so the situation is not appropriate to the transformed imaging technique and then the iterative algorithm has to be applied so that better reconstructed image can be got 然而在工业应用中,一般得到的是不完全投影数据,其数量和结构往往无法达到解析成像技术要求的条件,因此为得到较清晰的图像,必须采用迭代重建法。
For the non - overlapping ddm , which is named dirichlet - neumann alternating algorithm , we prove the convergence of the algorithm , and it is equivalent to the richardson iterative algorithm . discrete d - n algorithm and some numerical examples are given 对非重叠型区域分解算法(即dirichlet - neumann交替算法) ,研究了算法的收敛性及它与richardson迭代法的等价性,并给出了离散情形d - n算法和数值例子。
A fast and real - time algorithm to obtain some vectors of the projection matrix is proposed in this dissertation to solve the conflict of time cost by matrix obtainment and memory occupied by matrix , and speed the iterative algorithm 作者根据扇形扫描几何的对称性和重叠性,提出了一种快速实时获取投影矩阵分量的方法,较好地解决了获取投影矩阵所需速度和存放其所占内存空间的矛盾,提高了迭代重建算法的速度。
Then discusses its properties , such as biased property , relative efficiency of generalized variance and superiority comparisons between generalized ridge estimation and generalized least squares estimation . shows iterative algorithm based on the mean dispersion error 该估计虽然具有偏崎,但其估计精度具有良好的性质,如:有偏性、方差一致最优性、相对于广义最小二乘估计的广义方差效率、 mde ? ?有效性等。
This paper gived an alternating iterative algorithm , and solved parameters estimation question of math model in the case of unknown error variances , which some linear models with the same parameters with linear inequality constraints , at last , data modeling was done 摘要本文对不等式约束条件下,具有相同参数的多个线性模型的参数,在方差未知的情况下,给出了一种迭代算法,并利用一组随机数据对此算法进行了模拟。
Furthermore , by integrating the disope algorithm with wavelets neural network model , a double iterative algorithm of optimal control for unknown systems is given with the special structure and the algorithm design ; the performance of the algorithm is also analyzed 在这两者基础上,通过将小波神经网络建模和disope算法有机结合在一起,提出一种双迭代算法,给出相应的算法设计与具体结构,并对算法性能作了分析。