Firstly the key technologies about initial alignment and attitude matrix algorithms are systematically discussed 首先對(duì)實(shí)現(xiàn)sins的初始對(duì)準(zhǔn)及姿態(tài)矩陣計(jì)算等關(guān)鍵技術(shù)進(jìn)行了系統(tǒng)研究。
For more on improving sparse matrix algorithms , read fast and effective algorithms for graph partitioning and sparse - matrix ordering 如果您想了解更多關(guān)于提高稀疏矩陣算法的信息,請(qǐng)閱讀
After this , two kinds of algorithms are proposed in this thesis . both of them are based on a decomposing jacobian matrix algorithm 在此基礎(chǔ)上,文章先對(duì)不良數(shù)據(jù)的檢測(cè)與辨識(shí)問題進(jìn)行了闡述,介紹了常用的一些算法。
Secondly , the discernibility matrix algorithm is improved by proposing a more objective approach to evaluate the significance of attributes 其次,對(duì)差別矩陣算法進(jìn)行了改進(jìn),更加客觀地評(píng)價(jià)屬性重要性,不再是只看數(shù)量,而是更注意質(zhì)量。
Secondly , measuring arrangement in three - phase distribution systems , decomposing jacobian matrix algorithms and how to choose pseudo - measurement weight are discussed 其次,對(duì)三相系統(tǒng)的量測(cè)設(shè)置,分解雅可比三相狀態(tài)估計(jì)算法和偽量測(cè)權(quán)值的選取進(jìn)行了闡述。