• The sparse vector method enhances the efficiency of matrix solution algorithms by exploiting the vector sparsity. It has been successfully applied to many problems arising in power systems.

    稀疏向量法通过利用向量的稀疏性来提高求解矩阵方程的效率,它被成功地应用到电力系统分析的众多问题。

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  • Then the equivalent circuit was solved by matrix solution.

    然后使用矩阵求解的方法解得该电路。

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  • By using the characteristic vector method, the fundamental matrix solution is obtained.

    采用特征向量法求其基本矩阵解。

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  • To the inverse problem of the system of linear algebraic equations, tiauthor gives a symmetric matrix solution and the expression of its general solution.

    本文给出线性代数方程组反问题的对称矩阵解,及其通解表达式。

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  • Methods:Initial data of samples were corrected with the standard curve which obtained by the standards pre-diluted with matrix solution free of the analytes.

    方法:采用样品基质溶液稀释标准溶液,然后绘制标准曲线用于样品结果校正。

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  • By this iterative method, the solvability of the equations can be determined automatically, and its reflexive matrix solution or least-norm reflexive matrix solution can be got within finite steps.

    该算法可以判断矩阵方程组是否有自反矩阵解,并在有自反矩阵解时,可以在有限步迭代计算之后得到矩阵方程组的一个自反矩阵解或者极小范数自反矩阵解。

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  • Based universal Grey number's characteristic, universal Grey matrix is defined and universal Grey matrix Solution Method to universal Grey Linear Equations is introduced.

    根据泛灰数的性质,定义了泛灰矩阵,提出了泛灰线性方程组的泛灰矩阵解法,并给出了算例。

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  • The judging methods of the vectors group related dependence from determinant values, rank of matrix, solution of system of linear equations etc were studied.

    将行列式的值、矩阵的秩、齐次线性方程组的解等知识运用于向量组线性相关性判定,归纳出六种判定向量组线性相关性的方法。

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  • The judging methods of the vectors group related dependence from determinant values, rank of matrix, solution of system of linear equations etc were studied.

    将行列式的值、矩阵的秩、齐次线性方程组的解等知识运用于向量组线性相关性判定,归纳出六种判定向量组线性相关性的方法。

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