Taylor series

(redirected from Taylor approximation)

Taylor series

[′tā·lər ‚sir·ēz]
(mathematics)
The Taylor series corresponding to a function ƒ(x) at a point x0 is the infinite series whose n th term is (1/ n !)·ƒ(n)(x0)(x-x0) n , where ƒ(n)(x) denotes the n th derivative of ƒ(x).
(naval architecture)
Resistance charts based upon model tests of a series of ships derived by altering the proportions of a single parent form; used to study the effects of these alterations on resistance to the ship's motion, and to predict the powering requirements for new ships.
References in periodicals archive ?
For each vector [DELTA]m a Taylor approximation [s.
Similarly to the previous tests, for all vectors [DELTA]m Taylor approximations [s.
This article establishes that most yield curve models within the popular Nelson and Siegel (1987, hereafter NS) class may be obtained as a formal Taylor approximation to the dynamic component of the generic Gaussian affine term structure model outlined in Dai and Singleton (2002).
The time delay term is approximated by the Taylor approximation of the denominator (6) before the controller synthesis.
In section 4 we give an error analysis and the Maple code for the order verification of Taylor approximation.
We have used the following Maple code for the Taylor approximation A(h) [approximately equal to] [e.
Suppose that p is small enough so that a first-order Taylor approximation of the default premium can be used
Updated capabilities include: wavelength intervals of one, two or five nanometers; support for up to 12 reference scans to eliminate variations in reference measurements; a Taylor approximation for calculating MPF standard deviations with multiple reference scans and other new features.
0] is equal to the value of the capital stock in the deterministic steady state and the policy function for labor is smooth, we can use a Taylor approximation to approximate this policy function around ([k.
In particular, it has been established that this approximation is better than the m-fold Taylor expansion--which highlights the fact that for the same amount of matrix-vector products, the Krylov approximation is better than the Taylor approximation (the Krylov approach involves however more local calculation, notably the Gram-Schmidt sweeps).
Taylor approximations for stochastic partial differential equations.
Riemann sums, Taylor approximations, and Newton's method.