2 Complexity of Gaussian Methods known as the complexity of the algorithm of the algorithm Consider Gaussian elimination whilst working on row i
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On the other hand various polynomial time algorithms do exist for such computations, but these algorithms are relatively complicated to describe and understand
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Consider the Gaussian elimination algorithm with the well-known partial pivoting strategy for improving numerical stability (GEPP)
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A review of results in computational complexity for sparse matrices is given in section 4 A few algorithms that attempts to explore all
4087_TR_80.pdf
In section 4 we analyze the complexity of an algorithm presented by Saad et al (Saad, 1986) for solving dense linear systems of equation on hypercubes We
SSRN_ID3170183_code2790778.pdf
In the last section I showed that the code that implements Cramer's method runs very slow even for small n, namely, for n = 9 The Gaussian elimination
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