The computational cost, in the bit model of computation, of the evaluation of a real function f(x) in a point x is analyzed, when the number d of correct digits of the result increases asymptotically. We want to study how the cost depends on x also when x 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 x, that is as products of two functions, each of one variable. We examine in particular the case of elementary functions. © J.C. Baltzer AG, Science Publishers.

Separable asymptotic cost of evaluating elementary functions

Favati Paola;
2000

Abstract

The computational cost, in the bit model of computation, of the evaluation of a real function f(x) in a point x is analyzed, when the number d of correct digits of the result increases asymptotically. We want to study how the cost depends on x also when x 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 x, that is as products of two functions, each of one variable. We examine in particular the case of elementary functions. © J.C. Baltzer AG, Science Publishers.
2000
Complexity and performance of numerical algorithms
Elementary functions
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/283801
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