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CORDIC (coordinate rotation digital computer), Volder's algorithm, Digit-by-digit method, Circular CORDIC (Jack E. Volder), [1] [2] Linear CORDIC, Hyperbolic CORDIC (John Stephen Walther), [3] [4] and Generalized Hyperbolic CORDIC (GH CORDIC) (Yuanyong Luo et al.), [5] [6] is a simple and efficient algorithm to calculate trigonometric functions, hyperbolic functions, square roots ...
is a better approximation of the root than x 0. Geometrically, (x 1, 0) is the x-intercept of the tangent of the graph of f at (x 0, f(x 0)): that is, the improved guess, x 1, is the unique root of the linear approximation of f at the initial guess, x 0. The process is repeated as
Many root-finding processes work by interpolation. This consists in using the last computed approximate values of the root for approximating the function by a polynomial of low degree, which takes the same values at these approximate roots. Then the root of the polynomial is computed and used as a new approximate value of the root of the ...
The Padé approximation has the form (+) = + + + + + (+). The rational function has a zero at h = − a 0 {\displaystyle h=-a_{0}} . Just as the Taylor polynomial of degree d has d + 1 coefficients that depend on the function f , the Padé approximation also has d + 1 coefficients dependent on f and its derivatives.
A method analogous to piece-wise linear approximation but using only arithmetic instead of algebraic equations, uses the multiplication tables in reverse: the square root of a number between 1 and 100 is between 1 and 10, so if we know 25 is a perfect square (5 × 5), and 36 is a perfect square (6 × 6), then the square root of a number greater than or equal to 25 but less than 36, begins with ...
Lighting and reflection calculations, as in the video game OpenArena, use the fast inverse square root code to compute angles of incidence and reflection.. Fast inverse square root, sometimes referred to as Fast InvSqrt() or by the hexadecimal constant 0x5F3759DF, is an algorithm that estimates , the reciprocal (or multiplicative inverse) of the square root of a 32-bit floating-point number in ...
In numerical analysis, the secant method is a root-finding algorithm that uses a succession of roots of secant lines to better approximate a root of a function f. The secant method can be thought of as a finite-difference approximation of Newton's method, so it is considered a quasi-Newton method.
An approximate root for p(x) may then be obtained straightforwardly from that for r. If we make the even more extreme assumption that the terms in G {\displaystyle G} corresponding to the roots x 2 , x 3 , … , x n {\displaystyle x_{2},\ x_{3},\ \ldots ,\ x_{n}} are negligibly small compared to the root x 1 , {\displaystyle x_{1},} this leads ...