数理医药学杂志
數理醫藥學雜誌
수리의약학잡지
JOURNAL OF MATHEMATICAL MEDICINE
2013年
4期
392-394,395
,共4页
线性方程组%正规%程序%算法%Matlab函数%最小二乘解
線性方程組%正規%程序%算法%Matlab函數%最小二乘解
선성방정조%정규%정서%산법%Matlab함수%최소이승해
linear equation%normalization%program%algorithm%Matlab function%least-squares solu-tion
目的：提出线性方程组 Ax ＝ b与ATAx ＝ ATb同解定理，解决 Matlab环境中对线性方程组进行分类判断和函数选择的烦琐问题。方法：证明线性方程组同解定理，编写新程序并与已有 Matlab 程序比较。结果：新程序比较原有程序机器时耗少。结论：同解定理对解线性方程组求解程序设计具有参考价值。
目的：提齣線性方程組 Ax ＝ b與ATAx ＝ ATb同解定理，解決 Matlab環境中對線性方程組進行分類判斷和函數選擇的煩瑣問題。方法：證明線性方程組同解定理，編寫新程序併與已有 Matlab 程序比較。結果：新程序比較原有程序機器時耗少。結論：同解定理對解線性方程組求解程序設計具有參攷價值。
목적：제출선성방정조 Ax ＝ b여ATAx ＝ ATb동해정리，해결 Matlab배경중대선성방정조진행분류판단화함수선택적번쇄문제。방법：증명선성방정조동해정리，편사신정서병여이유 Matlab 정서비교。결과：신정서비교원유정서궤기시모소。결론：동해정리대해선성방정조구해정서설계구유삼고개치。
Objective:To put forward a theorem that the linear equation A x= b is equivalent to the linear · 394 · equation ATAx= ATb ,and simplify the complicated work in Classification and discrimination when linear e-quations are solving with Matlab .Methods:To prove the theorem ,program a new procedure ,and compare the new procedure and the procedure existed in Matlab .Results :The new procedure occupies less time than the procedure existed in Matlab when linear equations are solved .Conclusion:The theorem is valuable for programming that relates to solving linear equations .
