Strong Subordination for E -valent Functions Involving the Operator Generalized Srivastava-Attiya

Thamer Khalil MS. Al Al-Khafaji

doi:10.21123/bsj.2020.17.2.0509

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Publication Date

Mon May 11 2020

Journal Name

Baghdad Science Journal

Volume

17

Issue Number

2

DOI

10.21123/bsj.2020.17.2.0509

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Strong Subordination for E -valent Functions Involving the Operator Generalized Srivastava-Attiya

Differential subordination

Operator generalized Srivastava-Attiya

P-valent functions

Strong subordination

Univalent function.

Thamer Khalil MS. Al Al-Khafaji

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Some relations of inclusion and their properties are investigated for functions of type " -valent that involves the generalized operator of Srivastava-Attiya by using the principle of strong differential subordination.

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Thu Dec 05 2019

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Advances In Intelligent Systems And Computing

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Tue May 02 2017

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Behavior of Earth Magnetosphere Radius during Strong Geomagnetic Storms

Magnetosphere

solar wind

surface magnetic field

ionosphere

and geomagnetic storms.

Mais Mohammed

najat mohammed

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Magnetosphere is a region of space surrounding Earth magnetic field, the formation of magnetosphere depends on many parameters such as; surface magnetic field of the planet, an ionized plasma stream (solar wind) and the ionization of the planetary upper atmosphere (ionosphere). The main objective of this research is to find the behavior of Earth's magnetosphere radius (R_mp) with respect to the effect of solar wind kinetic energy density (Usw), Earth surface magnetic field (B_o), and the electron density (N_e) of Earth's ionosphere for three years 2016, 2017 and 2018. Also the study provides the effect of solar activity for the same period during strong geomagnetic storms on the behavior of R_mp. F

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Sun Sep 07 2014

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An Algorithm for nth Order Intgro-Differential Equations by Using Hermite Wavelets Functions

Hermite wavelets

integro-differential equation

operational matrix of integrations.

Asmaa A.

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In this paper, the construction of Hermite wavelets functions and their operational matrix of integration is presented. The Hermite wavelets method is applied to solve nth order Volterra integro diferential equations (VIDE) by expanding the unknown functions, as series in terms of Hermite wavelets with unknown coefficients. Finally, two examples are given

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Iraqi Journal Of Chemical And Petroleum Engineering

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Investigating the Mastering of the Pronunciation of Weak and Strong Forms of English Function Words

Mahdii Khalaf Hussein

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The weak and strong forms are so called because it is not their lexical content that primary matter, but the role they have in the sentence. The problematic confusion, our students encounter, in recognizing and producing the correct pronunciation of weak and strong forms of the English function words is the main incentive behind conducting this study. In order to gather the data, this paper used two types of tests: a recognition test and a production test. The general results reached through the analysis of the students' answers seem to conform to the researcher's assumption: students face a critical problem in recognizing and producing correct pronunciation of the weak and strong forms of the English funct

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Mon Jul 01 2024

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Comparison of some Bayesian estimation methods for type-I generalized extreme value distribution with simulation

Weibull distribution Maximum likelihood estimation Bayesian shrinkage estimator Shrinkage pre-test Squared loss function Linear exponential loss function

Sundos Bader

Fatima K.

Rehab Noori

Amal S.

Ehab M.

Fatimah M.

Sara Mohamed Ahmed

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The Weibull distribution is considered one of the Type-I Generalized Extreme Value (GEV) distribution, and it plays a crucial role in modeling extreme events in various fields, such as hydrology, finance, and environmental sciences. Bayesian methods play a strong, decisive role in estimating the parameters of the GEV distribution due to their ability to incorporate prior knowledge and handle small sample sizes effectively. In this research, we compare several shrinkage Bayesian estimation methods based on the squared error and the linear exponential loss functions. They were adopted and compared by the Monte Carlo simulation method. The performance of these methods is assessed based on their accuracy and computational efficiency in estimati

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Journal Name

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FILTER BASES AND ω-PERFECT FUNCTIONS

closure converge to a point

closure directed toward a set

almost ω-converges to a set

almost condensation point

ω-continuous functions

weakly ω-continuous functions

ω-compact functions

ω-rigid a set

almost ω-closed functions

ω-perfect functions.

Yousif Y.

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In this paper introduce some generalizations of some definitions which are, closure converge to a point, closure directed toward a set, almost ω-converges to a set, almost condensation point, a set ωH-closed relative, ω-continuous functions, weakly ω-continuous functions, ω-compact functions, ω-rigid a set, almost ω-closed functions and ω-perfect functions with several results concerning them.

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Publication Date

Mon Jan 01 2024

Journal Name

Aip Conference Proceedings

Ground state properties of Beryllium isotopes using the radial wave functions of harmonic-oscillator and modified Bessel functions

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