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A Space Efficient Flexible Pivot Selection Approach to Evaluate Determinant and Inverse of a Matrix

机译:一种节省空间的灵活枢轴选择方法,用于评估矩阵的行列式和逆矩阵

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摘要

This paper presents new simple approaches for evaluating determinant and inverse of a matrix. The choice of pivot selection has been kept arbitrary thus they reduce the error while solving an ill conditioned system. Computation of determinant of a matrix has been made more efficient by saving unnecessary data storage and also by reducing the order of the matrix at each iteration, while dictionary notation has been incorporated for computing the matrix inverse thereby saving unnecessary calculations. These algorithms are highly class room oriented, easy to use and implemented by students. By taking the advantage of flexibility in pivot selection, one may easily avoid development of the fractions by most. Unlike the matrix inversion method and , the presented algorithms obviate the use of permutations and inverse permutations.
机译:本文提出了评估矩阵行列式和逆的新的简单方法。枢轴选择的选择一直是任意的,因此在解决病态系统的同时减少了错误。通过节省不必要的数据存储并通过减少每次迭代时矩阵的阶数,矩阵的行列式的计算更加有效,同时引入了字典符号来计算矩阵逆,从而节省了不必要的计算。这些算法面向高教室,易于使用,并由学生实施。通过利用枢轴选择中的灵活性优势,可以轻松避免大多数分数的产生。与矩阵求逆方法和不同,本文提出的算法消除了排列和逆排列的使用。

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