Separable asymptotic cost of evaluating elementary functions

The computational cost, in the bit model of computation, of the evaluation of a real function in a point is analyzed, when the number d of correct digits of the result increases asymptotically. We want to study how the cost depends on also when approaches a critical point for the function f. We inve...

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Veröffentlicht in:Numerical algorithms Jg. 24; H. 3; S. 255 - 274
Hauptverfasser: Favati, P., Lotti, G., Menchi, O., Romani, F.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer Nature B.V 01.08.2000
Schlagworte:
Asymptotic properties
Computing costs
Critical point
Upper bounds
ISSN:1017-1398, 1572-9265
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Zusammenfassung:The computational cost, in the bit model of computation, of the evaluation of a real function in a point is analyzed, when the number d of correct digits of the result increases asymptotically. We want to study how the cost depends on also when approaches a critical point for the function f. We investigate the hypotheses under which it is possible to give upper bounds on the cost as functions of “separated variables” d and , that is as products of two functions, each of one variable. We examine in particular the case of elementary functions.
Bibliographie:ObjectType-Article-1
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ISSN:1017-1398
1572-9265
DOI:10.1023/A:1019101512077