1) weighting iterative improved algorithm
加权迭代改善法
1.
This paper has improved some conventional algorithms and presents the weighting iterative improved algorithm and PSD-PCG algorithm, basing on the analysis of ill-conditioned linear system of equations characteristic and origin.
本文在分析了病态线性方程组的特点和成因的基础上，对一些传统的算法进行了改进，给出了加权迭代改善法和PSD—PCG法。
2) weighted iteration method
加权迭代法
1.
Two new methods,the generalized Levy method and the weighted iteration method,are presented for identification of non-integer order systems.
提出了2种非整数阶系统辨识方法——广义Levy法和加权迭代法。
3) weighted iteration
加权迭代
1.
In combination with dynamic balance practice,we deal with some problems existing in the influence coefficient method,for example,excessive hangover vibration and inadequate balance weighted mass match,and propose the following three ameliorative methods: weighted iteration least-squares method,restrained mass match least-squares method and genetic algorithm-based least-squares method.
本文结合动平衡实践,针对平衡过程中影响系数法存在的一些问题(残余振动量偏大、配重质量受限等),提出了3种改进方法:即加权迭代最小二乘法、限制配重的最小二乘法和基于遗传算法的最小二乘法。
4) Iterative-weighted
迭代加权
5) Iterative weight
加权迭代
1.
A robust self-calibration algorithm based on iterative weight;
一种加权迭代自定标算法
6) erative addition
迭代加法
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