Results 51 to 60 of about 1,631,794 (168)

New Error Coefficients for Estimating Quadrature Errors for Analytic Functions [PDF]

Mathematics of Computation, 1970
Since properly normalized Chebyshev polynomials of the first kind T ~ n ( Z ) {\tilde T_n}(Z) satisfy \[ ( T ~
Rabinowitz, P., Richter, N.
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Assessment of product quality risks by qualimetric methods using functionally dependent statistics

Engineering Management in Production and Services
In modern production systems, ensuring high product quality while minimising risk is a critical challenge. Traditional quality assessment methods often rely on expert judgment or complex models, which may introduce subjectivity or require large datasets.
Trishch Roman, Petraškevičius Vladislavas, Šimelytė Agnė, Cherniak Olena, Lomanov Kostiantyn   +4 more
doaj   +1 more source

Adsorptive Removal of Phosphate from Water Using Aluminum Terephthalate (MIL-53) Metal–Organic Framework and Its Hollow Fiber Module

Recycling
The aluminum terephthalate (MIL-53) metal–organic framework (MOF) (MIL-53(Al)) was evaluated as an adsorbent for removing phosphates from aqueous solutions. XRD and FTIR were used to confirm the molecular structure.
Shein-Fu Wu, Hsin-Ming Cheng
doaj   +1 more source

Cubature error bounds for analytic functions [PDF]

Mathematics of Computation, 1973
In this paper, two-dimensional cubature error bounds are developed. It is assumed that the function to be integrated is analytic, and that the domain of integration is contained in [ − 1 , 1 ] × [ − 1 , 1 ] [ - 1,1] \times [ - 1,1] .
openaire   +1 more source

On uniform error of kemel estimate of discontinuous regression function

Lietuvos Matematikos Rinkinys, 2002
There is not abstract.
Alfredas Račkauskas, Aurelijus Tamulis
doaj   +3 more sources

Error-Function-Based Penalized Quantile Regression in the Linear Mixed Model

Applied Sciences
We study a novel Doubly penalized ERror Function regularized Quantile Regression (DERF-QR) in this paper. This is a method of variable selection by ERror Function (ERF) regularization in the linear effects model.
Zelin Hang, Xiuli He
doaj   +1 more source

Analysis of Finite Integrals with Incomplete Aleph Functions, Mittag-Leffler Generalizations, and the Error Function

Fractal and Fractional
In this paper, we evaluate a general class of finite integrals involving the error function, generalized Mittag-Leffler functions, and incomplete Aleph functions. The main result provides a unified framework that extends several known formulas related to
Dinesh Kumar, Frédéric Ayant, Meena Kumari Gurjar, Anil Kumar Vishnoi, Saroj Solanki   +4 more
doaj   +1 more source

Two-Party Zero-Error Function Computation with Asymmetric Priors

Entropy, 2017
We consider a two party network where each party wishes to compute a function of two correlated sources. Each source is observed by one of the parties. The true joint distribution of the sources is known to one party.
Basak Guler, Aylin Yener, Prithwish Basu, Ananthram Swami   +3 more
doaj   +1 more source

Improving the error backpropagation algorithm with a modified error function [PDF]

IEEE Transactions on Neural Networks, 1997
This letter proposes a modified error function to improve the error backpropagation (EBP) algorithm of multilayer perceptrons (MLPs) which suffers from slow learning speed. To accelerate the learning speed of the EBP algorithm, the proposed method reduces the probability that output nodes are near the wrong extreme value of sigmoid activation function.
openaire   +2 more sources

Bi-Univalent Function Classes Defined by Imaginary Error Function and Bernoulli Polynomials

Axioms
In recent years, special functions have played a significant role in the investigation of different subclasses within the class of bi-univalent functions. In this work, we present and investigate two new subclasses of bi-univalent functions defined in U={
Ibtisam Aldawish, Sondekola Rudra Swamy, Basem Aref Frasin, Supriya Chandrashekharaiah   +3 more
doaj   +1 more source