
doi: 10.1007/bf02237815
Methods are presented for performing various error analyses of numerical algorithms. These analyses include forward, backward, and B-analysis (a combination of forward and backward). These analyses additionally provide alternative criteria by which different algorithms that solve the same problem may be compared. The conclusions of various comparison criteria are related to the correlation of errors in each algorithm. Finally, the analysis of a composite algorithm, which is made up of concatenated sub-algorithms, is given in terms of analyses done on its parts.
Roundoff error, Numerical mathematical programming methods, numerical stability, numerical linear algebra, linear programming, Direct numerical methods for linear systems and matrix inversion, roundoff analysis
Roundoff error, Numerical mathematical programming methods, numerical stability, numerical linear algebra, linear programming, Direct numerical methods for linear systems and matrix inversion, roundoff analysis
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