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2023
DOI: 10.3390/appliedmath3020019
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Radial Based Approximations for Arcsine, Arccosine, Arctangent and Applications

Abstract: Based on the geometry of a radial function, a sequence of approximations for arcsine, arccosine and arctangent are detailed. The approximations for arcsine and arccosine are sharp at the points zero and one. Convergence of the approximations is proved and the convergence is significantly better than Taylor series approximations for arguments approaching one. The established approximations can be utilized as the basis for Newton-Raphson iteration and analytical approximations, of modest complexity, and with rel… Show more

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Cited by 2 publications
(5 citation statements)
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References 25 publications
(32 reference statements)
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“…Consider an initial approximation of f −1 0 for the inverse function f −1 . For a given value of y, the initial approximation of x 0 to f −1 (y) is given by f −1 0 (y), and the first-order approximation for f −1 , consistent with (15), is…”
Section: Notesmentioning
confidence: 99%
See 4 more Smart Citations
“…Consider an initial approximation of f −1 0 for the inverse function f −1 . For a given value of y, the initial approximation of x 0 to f −1 (y) is given by f −1 0 (y), and the first-order approximation for f −1 , consistent with (15), is…”
Section: Notesmentioning
confidence: 99%
“…Point-based approximations such as Taylor series expansions, for example, often do not lead to suitable initial approximations as such approx-imations of a fixed order, whilst having a low error at the point of approximation, generally have an increasing error, and potentially an increasing relative error, as the distance from the point of approximation increases. This situation is illustrated in Figure 2 of [15], where the relative errors in Taylor series approximations for arcsine are detailed.…”
Section: Notesmentioning
confidence: 99%
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