Article ID Journal Published Year Pages File Type
5773311 Linear Algebra and its Applications 2017 34 Pages PDF
Abstract
The algorithm by Al-Mohy and Higham (2011) [2] computes an approximation to eAb for given A and b, where A is an n-by-n matrix and b is, for example, a vector of dimension n. It uses a scaling together with a truncated Taylor series approximation to the exponential of the scaled matrix. In this paper, a method is developed for estimating the roundoff error of the computed solution. An asymptotic expansion of this error for small values of the unit roundoff is the basis of the method. The roundoff error is further expressed in terms of sums of rounding errors, which occur during the computation. A second approximation to eAb, which is computed with a lower precision than the first one, is used to evaluate these rounding errors in practice. The result is an upper bound on the normwise relative roundoff error. Further, an algorithm is proposed for computing the error bound. The cost for performing this algorithm depends on the type of problem and the accuracy, which is required for the error estimate. In case that all computations are performed with standard precisions, this cost can be expressed in terms of the number of computed matrix-vector products and is bounded from above by two times the cost for computing eAb.
Related Topics
Physical Sciences and Engineering Mathematics Algebra and Number Theory
Authors
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