Results 11 to 20 of about 18,405,059 (322)
Arbitrarily Accurate Analytical Approximations for the Error Function [PDF]
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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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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Mathematical prediction of the time evolution of the COVID-19 pandemic in Italy by a Gauss error function and Monte Carlo simulations. [PDF]
Eur Phys J Plus, 2020 In this paper are presented mathematical predictions on the evolution in time of the number of positive cases in Italy of the COVID-19 pandemic based on official data and on the use of a function of the type of a Gauss error function, with four ...
Ciufolini I, Paolozzi A.
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Neural networks: further insights into error function, generalized weights and others. [PDF]
Ann Transl Med, 2016 Zhang Z.
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Geometric properties of normalized imaginary error function
Studia Universitatis Babeş-Bolyai. Mathematica, 2022 "The error function takes place in a wide range in the elds of mathe- matics, mathematical physics and natural sciences. The aim of the current paper is to investigate certain properties such as univalence and close-to-convexity of normalized imaginary ...
N. H. Mohammed +3 more
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The Voigt and complex error function: Humlíček’s rational approximation generalized [PDF]
Monthly notices of the Royal Astronomical Society, 2018 Accurate yet efficient computation of the Voigt and complex error function is a challenge since decades in astrophysics and other areas of physics.
F. Schreier
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Mathematics, 2023 We utilize quasi-subordination to analyze and introduce several new classes, and we construct a new operator by combining the error function and q-convolution.
Sheza M. El-Deeb +1 more
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A Novel DOA Estimation for Distributed Sources in an Impulsive Noise Environment
IEEE Access, 2020 Direction of arrival (DOA) estimation has emerged as a promising technology for many military and civilian applications, such as radio astronomy and wireless communications.
Quan Tian +3 more
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"An Overview of Using Error function in Adsorption Isotherm Modeling "
, 2020 "Over the past years, a large number of statistical expressions used as a measure of accuracy, collectively referred to as error functions. These functions use to determine the best fitting data.
Hawraa Kassem Hami +3 more
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Evaluation of the Gauss Integral
Stats, 2022 The normal or Gaussian distribution plays a prominent role in almost all fields of science. However, it is well known that the Gauss (or Euler–Poisson) integral over a finite boundary, as is necessary, for instance, for the error function or the ...
Dmitri Martila, Stefan Groote
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