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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的实现方面完成方法

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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:分析和应用可重新配置计算的功能变得有趣,因为概念允许创建算法。由此概念引起的一个重要算法是已知的矩阵逆计算。该算法对于基于矩阵的计算变为常见,因为与其他“高斯”方法相比,它没有奇点。但是,这种极端缓解计算要求有一个限制。所生成的矩阵逆是所有上三角形或下三角形的。由于需要将计算扩展到任何矩阵,因此我们呈现可重新配置矩阵逆的一些实现方面以及处理完整矩阵逆的过程的扩展。该研究使用可重构矩阵逆计算的结果完成它们并使能够生成完整矩阵逆的过程。

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