Firstly the key technologies about initial alignment and attitude matrix algorithms are systematically discussed 首先对实现sins的初始对准及姿态矩阵计算等关键技术进行了系统研究。
For more on improving sparse matrix algorithms , read fast and effective algorithms for graph partitioning and sparse - matrix ordering 如果您想了解更多关于提高稀疏矩阵算法的信息,请阅读
After this , two kinds of algorithms are proposed in this thesis . both of them are based on a decomposing jacobian matrix algorithm 在此基础上,文章先对不良数据的检测与辨识问题进行了阐述,介绍了常用的一些算法。
Secondly , the discernibility matrix algorithm is improved by proposing a more objective approach to evaluate the significance of attributes 其次,对差别矩阵算法进行了改进,更加客观地评价属性重要性,不再是只看数量,而是更注意质量。
Secondly , measuring arrangement in three - phase distribution systems , decomposing jacobian matrix algorithms and how to choose pseudo - measurement weight are discussed 其次,对三相系统的量测设置,分解雅可比三相状态估计算法和伪量测权值的选取进行了阐述。