Results 231 to 240 of about 227,595 (269)
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Error Analysis on the TICER Approximation
Circuits, Systems, and Signal Processing, 2023Wenhui Yao, Chunxiong Zheng, Zhenya Zhou
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Approximation of the Complementary Error Function
ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 1995The author gives a simple approximation to the complementary error function.
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An error bound for the Born approximation
Inverse Problems, 2004Summary: We derive an explicit error bound for the Born approximation for the inverse scattering problem of the Helmholtz equation at fixed frequency.
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Error Estimates in Padé Approximation
1988Let f be a formal power series $$ f(t) = c_0 + c_1 t + c_2 t^2 + \cdots . $$ We are looking for a rational function whose series expansion in ascending powers of the variable t coincides with that of f as far as possible.
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Approximations to Error Functions
IEEE Instrumentation & Measurement Magazine, 2007This paper addresses approximations to error functions and points out three representative approximations, each with its own merits. Cody's approximation is the most computationally intensive of the three, it is not overly so, and there is no arguing over its accuracy.
Stephen Dyer, Justin Dyer
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Approximate Homomorphic Encryption with Reduced Approximation Error
2022Andrey Kim +2 more
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Siberian Mathematical Journal, 1983
For a sum of centered independent random vectors \(X_1, X_2,\ldots\); \(E| X_i|^3 \leq L\), \(E| X_i|^2 \leq 1\) taking values in the space \(\ell_{2k}\) \((k\) is natural) with a common covariance operator and \(Y\) a Gaussian centered random vector in \(\ell_{2k}\) with the same covariance operator the following result is proved: \[ P\{| a+S_n|
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For a sum of centered independent random vectors \(X_1, X_2,\ldots\); \(E| X_i|^3 \leq L\), \(E| X_i|^2 \leq 1\) taking values in the space \(\ell_{2k}\) \((k\) is natural) with a common covariance operator and \(Y\) a Gaussian centered random vector in \(\ell_{2k}\) with the same covariance operator the following result is proved: \[ P\{| a+S_n|
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Guaranteed approximation error estimation of neural networks and model modification
Neural Networks, 2022Weiming Xiang, Tao Wang, Yejiang Yang
exaly
Error Control with Polynomial Approximations
IMA Journal of Numerical Analysis, 1981Schonfelder, J. L., Razaz, M.
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