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
“…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%
“…Naturally, there are many approximations for arcsine, and an overview of published approximations and new results for arcsine, arccosine and arctangent is provided in [15]. Graphs of arcsine and arccosine are shown in Figure 4.…”
Section: Example I: Analytical Approximations For Arcsinementioning
confidence: 99%
“…Consider the published approximations for arcsine [17], [15] (Equations ( 10) and ( 31)) and [13] (p. 81, Equation (4.4.46)):…”
Section: General Schröder-based Approximationsmentioning
confidence: 99%
“…The approximation f −1 0,3 given by ( 48) is a lower bound for arcsine [15] (Equation ( 112)). Simulation results indicate that the first-to fourth-order approximations, as given by ( 42) to (45), and based on f −1 0,3 , are lower bounds with improved accuracy and with the relative error bounds detailed in Table 1.…”
Schröder approximations of the first kind, modified for the inverse function approximation case, are utilized to establish general analytical approximation forms for an inverse function. Such general forms are used to establish arbitrarily accurate analytical approximations, with a set relative error bound, for an inverse function when an initial approximation, typically with low accuracy, is known. Approximations for arcsine, the inverse of x − sin(x), the inverse Langevin function and the Lambert W function are used to illustrate this approach. Several applications are detailed. For the root approximation of a function, Schröder approximations of the first kind, based on the inverse of a function, have an advantage over the corresponding generalization of the standard Newton–Raphson method, as explicit analytical expressions for all orders of approximation can be obtained.
“…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%
“…Naturally, there are many approximations for arcsine, and an overview of published approximations and new results for arcsine, arccosine and arctangent is provided in [15]. Graphs of arcsine and arccosine are shown in Figure 4.…”
Section: Example I: Analytical Approximations For Arcsinementioning
confidence: 99%
“…Consider the published approximations for arcsine [17], [15] (Equations ( 10) and ( 31)) and [13] (p. 81, Equation (4.4.46)):…”
Section: General Schröder-based Approximationsmentioning
confidence: 99%
“…The approximation f −1 0,3 given by ( 48) is a lower bound for arcsine [15] (Equation ( 112)). Simulation results indicate that the first-to fourth-order approximations, as given by ( 42) to (45), and based on f −1 0,3 , are lower bounds with improved accuracy and with the relative error bounds detailed in Table 1.…”
Schröder approximations of the first kind, modified for the inverse function approximation case, are utilized to establish general analytical approximation forms for an inverse function. Such general forms are used to establish arbitrarily accurate analytical approximations, with a set relative error bound, for an inverse function when an initial approximation, typically with low accuracy, is known. Approximations for arcsine, the inverse of x − sin(x), the inverse Langevin function and the Lambert W function are used to illustrate this approach. Several applications are detailed. For the root approximation of a function, Schröder approximations of the first kind, based on the inverse of a function, have an advantage over the corresponding generalization of the standard Newton–Raphson method, as explicit analytical expressions for all orders of approximation can be obtained.
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