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Estimates of the Remainder in Taylor's Formula
Series on Concrete and Applicable Mathematics, 2010exaly +2 more sources
Mind the Remainder: Taylor’s Theorem View on Recurrent Neural Networks
IEEE Transactions on Neural Networks and Learning Systems, 2022Recurrent neural networks (RNNs) have gained tremendous popularity in almost every sequence modeling task. Despite the effort, these kinds of discrete unstructured data, such as texts, audio, and videos, are still difficult to be embedded in the feature space.
Xiang Guan +4 more
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On the Lagrange Remainder of the Taylor Formula
The American Mathematical Monthly, 2003(2003). On the Lagrange Remainder of the Taylor Formula. The American Mathematical Monthly: Vol. 110, No. 7, pp. 627-633.
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This work uses a recently developed fluctuation free matrix representation method in approximating the integral of the Taylor expansion remainder term. The basis set used for the matrix representation contains common factors of sine and cosine functions ...
Ercan Gürvit +2 more
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Computation and Application of Taylor Polynomials with Interval Remainder Bounds
Reliable Computing, 1998So-called Taylor models are used to determine guaranteed bounds of function values of multivalued and preferably complicated functions which are expansive to evaluate. A Taylor model of a function \(f\) consists of a Taylor polynomial of some convenient degree and an absolute error term in form of an interval. In order to determine the required bounds,
Martin Berz, Georg Hoffstätter
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Taylor-Like Remainder Formulas for Interpolation by Arbitrary Linear Functionals
SIAM Journal on Numerical Analysis, 1974Let $\mathcal{L}^i (i = 1,2, \cdots ,n)$ denote n linear functionals on $C^n [a,b]$, $f \in C^n [a,b]$, $p \in P_{n - 1} $ (the space of polynomials of degree $ < n$), where $\mathcal{L}^i p = \mathcal{L}^i f$. Then one has the formula $| {f(x) - p(x)} | \leqq U(x)\| {f^{(n)} } \|_\infty $, where U is the upper envelope of all functions $R \in C^n [a,b]
Chalmers, Bruce L., Metcalf, Frederic T.
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Approximating Csiszár f-divergence by the use of Taylor's formula with integral remainder
Mathematical Inequalities & Applications, 2002Csiszár \(f\)-divergence is defined by \[ D_f(p,q):= \int_\Gamma p(x)f\Biggl[{q(x)\over p(x)}\Biggr] d\mu(x),\quad p,q\in\Omega, \] where \(f\) is convex on \((0,\infty)\), a set \(\Gamma\) and the \(\sigma\)-finite measure \(\mu\) are given and \(\Omega\) is the set of all probability densities on \(\mu\); that is \[ \Omega:= \Biggl\{p\mid p:\Gamma\to
Barnett, N. S. +3 more
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Siberian Mathematical Journal, 2003
Summary: We show that the remainder of the Taylor expansion for a holomorphic function can be written down in Lagrange form, provided that the argument of the function is sufficiently close to the interpolation point. Moreover, the value of the derivative in the remainder can be taken in the intersection of the disk whose diameter joins the ...
Radzievskaya, E. I., Radzievskij, G. V.
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Summary: We show that the remainder of the Taylor expansion for a holomorphic function can be written down in Lagrange form, provided that the argument of the function is sufficiently close to the interpolation point. Moreover, the value of the derivative in the remainder can be taken in the intersection of the disk whose diameter joins the ...
Radzievskaya, E. I., Radzievskij, G. V.
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Multi Nodalset Fluctuation Free Integration in Taylor Remainder’s Evaluation
AIP Conference Proceedings, 2010The matrix representation of a univariate function is equal to the image of the independent variable matrix representation under that function at the no fluctuation limit. In recent studies of BEBBYT group this fact is extended in such a way that the matrix representation of a univariate function can be expressed as a linear combination of the same ...
Ercan Gürvit +5 more
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Some integral inequalities involving Taylor's remainder. I
2002By applying the famous Steffensen inequality, the author deduces some interesting bounds for Taylor's remainder. As particular cases he reobtains a known Iyengar integral inequality, as well as one of the Hermite-Hadamard inequalities for convex functions.
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