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Implementation Aspects of the Matrix Inverse Computation and Inverse Computations Completness Method

机译:矩阵逆计算和逆计算完成方法的实现方面

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It becomes interesting to analyze and apply the features of reconfigurable computations because the concept allows algorithm creation. An important algorithm that resulted from this concept is the known matrix inverse computation. This algorithm is becoming common for matrix based computations because it is free from singularities in comparison with other "Gauss" methods. However, this extreme ease computational requirement has a limitation. The generated matrix inverse are all upper triangular or lower triangular. Since there is a need to extend computations to any matrix, we then present some implementation aspects of the reconfigurable matrix inverse and an extension of the process that handles full matrix inverse. This research uses the results of the reconfigurable matrix inverse computations completes them and makes the process capable of generating full matrix inverse.
机译:分析和应用可重构计算的功能变得很有趣,因为该概念允许创建算法。由该概念产生的重要算法是已知的矩阵逆计算。这种算法在基于矩阵的计算中变得很普遍,因为与其他“高斯”方法相比,它没有奇异之处。但是,这种极其简便的计算要求具有局限性。生成的矩阵逆全部为上三角或下三角。由于需要将计算扩展到任何矩阵,因此我们介绍了可重构矩阵逆的一些实现方面以及处理全矩阵逆的过程的扩展。这项研究使用可重构矩阵逆计算的结果来完善它们,并使过程能够生成完整矩阵逆。

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