Results 31 to 40 of about 1,631,794 (168)
Minimization of Error Functionals over Variable-Basis Functions [PDF]
SIAM Journal on Optimization, 2004 Summary: Generalized Tikhonov well-posedness is investigated for the problem of minimization of error functionals over admissible sets formed by variable-basis functions, i.e., linear combinations of a fixed number of elements chosen from a given basis without a prespecified ordering.
P. C. KAINEN +2 more
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Measurement Science Review, 2021 As harmonic distortion of voltage and current is reality in the power system, the need for accurate measurement of electrical power and energy goes beyond the instruments’ specifications and calibration procedures regarding pure sine wave signals ...
Demerdziev Kiril, Dimchev Vladimir
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Arbitrarily Accurate Analytical Approximations for the Error Function
Mathematical and Computational Applications, 2022 A spline-based integral approximation is utilized to define a sequence of approximations to the error function that converge at a significantly faster manner than the default Taylor series.
Roy M. Howard
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Multivariate error function based neural network approximations
Journal of Numerical Analysis and Approximation Theory, 2014 Here we present multivariate quantitative approximations of real and complex valued continuous multivariate functions on a box or \(\mathbb{R}^{N},\) \(N\in \mathbb{N}\), by the multivariate quasi-interpolation, Baskakov type and quadrature type neural ...
George A. Anastassiou
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Sigmoid functions for the smooth approximation to the absolute value function
Moroccan Journal of Pure and Applied Analysis, 2021 We present smooth approximations to the absolute value function |x| using sigmoid functions. In particular, x erf(x/μ) is proved to be a better smooth approximation for |x| than x tanh(x/μ) and x2+μ\sqrt {{x^2} + \mu } with respect to accuracy.
Bagul Yogesh J., Chesneau Christophe
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Predictions models with neural nets
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2008 The contribution is oriented to basic problem trends solution of economic pointers, using neural networks. Problems include choice of the suitable model and consequently configuration of neural nets, choice computational function of neurons and the way ...
Vladimír Konečný
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Machines, 2023 Friction is one of important factors that cause contouring errors, and the friction error is difficult to predict because of its nonlinearity. In this paper, a prediction model of the friction error of a servo system is proposed based on the Long Short ...
Tao Wang, Dailin Zhang
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On approximating the error function
Journal of Inequalities and Applications, 2016 In the article, we present the necessary and sufficient condition for the parameter p on the interval ( 7 / 5 , ∞ ) $(7/5, \infty)$ such that the function x → erf ( x ) / B p ( x ) $x\rightarrow\operatorname{erf}(x)/B_{p}(x)$ is strictly increasing ...
Zhen-Hang Yang, Yu-Ming Chu
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A Two-Domain MATLAB Implementation for Efficient Computation of the Voigt/Complex Error Function
Mathematics, 2022 In this work we develop a new algorithm for the efficient computation of the Voigt/complex error function. In particular, in this approach we propose a two-domain scheme where the number of the interpolation grid-points is dependent on the input ...
Sanjar M. Abrarov +3 more
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Solution of the Heat and Mass Transfer Problem for Soil Radiant Heating Conditions Using the Error Function [PDF]
E3S Web of ConferencesAchieving high yields of agricultural crops requires the ability to predict soil temperature and moisture regimes, taking into account soil heating technology. The object of study is soil heated by a ceiling infrared emitter.
Pavlov Mikhail Vasilyevich +8 more
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