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Computation of best $$L^{\infty }$$ L ∞ exponential sums for 1 / x by Remez’ algorithm
- Source :
- Computing and Visualization in Science. 20:1-11
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 2019.
-
Abstract
- The approximation of the function 1 / x by exponential sums has several interesting applications. It is well known that best approximations with respect to the maximum norm exist. Moreover, the error estimates exhibit exponential decay as the number of terms increases. Here we focus on the computation of the best approximations. In principle, the problem can be solved by the Remez algorithm, however, because of the very sensitive behaviour of the problem the standard approach fails for a larger number of terms. The remedy described in the paper is the use of other independent variables of the exponential sum. We discuss the approximation error of the computed exponential sums up to 63 terms and hint to a webpage containing the corresponding coefficients.
- Subjects :
- Variables
Computation
media_common.quotation_subject
General Engineering
010103 numerical & computational mathematics
01 natural sciences
Theoretical Computer Science
Exponential function
010101 applied mathematics
Remez algorithm
Exponential sum
Computational Theory and Mathematics
Approximation error
Modeling and Simulation
Norm (mathematics)
Applied mathematics
Computer Vision and Pattern Recognition
0101 mathematics
Exponential decay
Software
Mathematics
media_common
Subjects
Details
- ISSN :
- 14330369 and 14329360
- Volume :
- 20
- Database :
- OpenAIRE
- Journal :
- Computing and Visualization in Science
- Accession number :
- edsair.doi...........a795cd18b97da5d5ff5f4aa75bb77e42