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- Keyword
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- Holomorphic function (2)
- Product of two polynomials (2)
- Univalent function (2)
- Absorption of Drugs (1)
- Arf closure (1)
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- Artificial Neural Network(ANN) (1)
- Bayesian Elastic Net Quantile Regression (1)
- Bayesian inference (1)
- Bi-univalent functions (1)
- Bratu-type Equation (1)
- COVID-19 (1)
- COVIED-19 (1)
- Cayley (1)
- Chebyshev and Legendre polynomials (1)
- Coefficient bounds (1)
- Convergence-free (1)
- Convolution (1)
- Credibility Space (1)
- Cubic spline interpolation (1)
- Data fitting (1)
- Differential equations (1)
- Differential operator (1)
- Distortion theorem (1)
- Estimation Method (1)
- Exact formula (1)
- Exchange Property (1)
- Expansion coefficients (1)
- Extending Modules (1)
- Faber polynomial (1)
- Fekete-Szegӧ problem. (1)
Articles 1 - 30 of 31
Full-Text Articles in Physical Sciences and Mathematics
Some Results On Cayley Graph, Nihad Abdel -Jalil
Some Results On Cayley Graph, Nihad Abdel -Jalil
Al-Qadisiyah Journal of Pure Science
Cayley graph has been introduced by A . Cayley , which is point – symmetric . However in this paper , I have found another type of symmetric graph , which is not Cayley graph . This graph is called peterson graph with 10 vertices is proposed
Cubic Spline Interpolation For Data Infections Of Covid-19 Pandemic In Iraq, Jehan Mohammed Al-Ameri
Cubic Spline Interpolation For Data Infections Of Covid-19 Pandemic In Iraq, Jehan Mohammed Al-Ameri
Al-Qadisiyah Journal of Pure Science
In this paper, we use an empirical equation and cubic spline interpolation to fit Covid-19 data available for accumulated infections and deaths in Iraq. For Scientific visualization of data interpretation, it is useful to use interpolation methods for purposes fitting by data interpolation. The data used is from 3 January 2020 to 21 January 2021 in order to obtain graphs to analysing the rate of increasing the pandemic and then obtain predicted values for the data infections and deaths in that period of time. Stochastic fit to the data of daily infections and deaths of Covid-19 is also discussed and …
Estimation Of Tail Parameter For Geometric Brownian Motion, Muhannad F. Al-Saadony, Noor Abd Hassan
Estimation Of Tail Parameter For Geometric Brownian Motion, Muhannad F. Al-Saadony, Noor Abd Hassan
Al-Qadisiyah Journal of Pure Science
Right-tailed distributions are very important in many applications. There are many studies estimating the tail index. In this paper, we will estimate the tail parameter (⍺) using the three (the Direct, Bootstrap and Double Bootstrap) methods. Our aim is to illustrate the best way to estimate the ⍺-stable with (0〈⍺〈2) using simulation and real data for the daily Iraqi financial market dataset.
Bayesian Estimation For Cox Ingersoll Ross Process, Muhannad F. Al-Saadony, Reyam Abo-Alhell
Bayesian Estimation For Cox Ingersoll Ross Process, Muhannad F. Al-Saadony, Reyam Abo-Alhell
Al-Qadisiyah Journal of Pure Science
the model of term structure of interest rates are consider the most significant and computationally difficult portion of the modern finance due to a relative complexity of using techniques. This article concerns the Bayesian estimation of interest rate models. Assume the short term interest rate follows the Cox Ingersoll Ross (CIR) process , this process has several feature. In particular mean reverting and the other feature is remanis non- negative , so this is what distinguishes it from previous models. It is implement in the R programing.
Bayesian Variable Selection For Semiparametric Logistic Regression, Zainab Sami, Taha Alshaybawee
Bayesian Variable Selection For Semiparametric Logistic Regression, Zainab Sami, Taha Alshaybawee
Al-Qadisiyah Journal of Pure Science
Lasso variable selection is an attractive approach to improve the prediction accuracy. Bayesian lasso approach is suggested to estimate and select the important variables for single index logistic regression model. Laplace distribution is set as prior to the coefficients vector and prior to the unknown link function (Gaussian process). A hierarchical Bayesian lasso semiparametric logistic regression model is constructed and MCMC algorithm is adopted for posterior inference. To evaluate the performance of the proposed method BSLLR is through comparing it to three existing methods BLR, BPR and BBQR. Simulation examples and numerical data are to be considered. The results indicate …
On The Quadruple Sequence Spaces Of Fuzzy Complex Numbers, Aqeel Mohammed Hussein
On The Quadruple Sequence Spaces Of Fuzzy Complex Numbers, Aqeel Mohammed Hussein
Al-Qadisiyah Journal of Pure Science
In this paper, the quadruple sequence spaces of fuzzy complex numbers are shown, and several features such as solidity, symmetry, monotonicity, and convergence-free are discussed.
Application Of Strip Domain And Parabolic Region On Univalent Holomorphic Functions, Shahram Najafzadeh
Application Of Strip Domain And Parabolic Region On Univalent Holomorphic Functions, Shahram Najafzadeh
Al-Qadisiyah Journal of Pure Science
In this paper, by using univalent functions connected with the strip domain. parabolic starlike and parabolic uniformly convex functions are introduced. Some relations between these classes are proved.
Λ - Borel And Λ - Baire Credibility On Normal Topological Space, Rasha Ali Hussein, Noori F. Al-Mayahi
Λ - Borel And Λ - Baire Credibility On Normal Topological Space, Rasha Ali Hussein, Noori F. Al-Mayahi
Al-Qadisiyah Journal of Pure Science
In this paper, will be presented the concept of Borel sets and Baire sets on normal topological spaces and locally compact topological spaces as new types of λ – system and study the basic characteristics related to each of them and obtain results related to them.
A View On Symmetric Numerical Semigroups, Sedat Ilhan
A View On Symmetric Numerical Semigroups, Sedat Ilhan
Al-Qadisiyah Journal of Pure Science
In this paper, we will give some results about the symmetric numerical semigroups such that Sk=<7,7k+4> where k is integer number.. Also, we will obtain Arf closure of these symmetric numerical semigroups.
Simulation Study For Penalized Bayesian Elastic Net Quantile Regression, Muntadher Hashim Mnati, Ahmed Naeem Falih
Simulation Study For Penalized Bayesian Elastic Net Quantile Regression, Muntadher Hashim Mnati, Ahmed Naeem Falih
Al-Qadisiyah Journal of Pure Science
Bayesian regression analysis has great importance in recent years, especially in the Regularization method, Such as ridge, Lasso, adaptive lasso, elastic net methods, where choosing the prior distribution of the interested parameter is the main idea in the Bayesian regression analysis. By penalizing the Bayesian regression model, the variance of the estimators are reduced notable and the bias is getting smaller. The tradeoff between the bias and variance of the penalized Bayesian regression estimator consequently produce more interpretable model with more prediction accuracy. In this paper, we proposed new hierarchical model for the Bayesian quantile regression by employing the scale …
On Sensitivity And Expansivity Of Linear Random Dynamical Systems, Rafal Hamza Naif, Ihsan Jabbar Kadhim
On Sensitivity And Expansivity Of Linear Random Dynamical Systems, Rafal Hamza Naif, Ihsan Jabbar Kadhim
Al-Qadisiyah Journal of Pure Science
in this study we introduce and study of on Sensitivity and expansivity of Linear Random DYnamical systems We obtain various important properties and theorems about Sensitivity Random DYnamical systems and Expansivity Random DYnamical systems
Reliable Iterative Method For Solving Volterra -Fredholm Integro Differential Equations, Samaher M. Yassein
Reliable Iterative Method For Solving Volterra -Fredholm Integro Differential Equations, Samaher M. Yassein
Al-Qadisiyah Journal of Pure Science
The aim of this paper, a reliable iterative method is presented for resolving many types of Volterra - Fredholm Integro - Differential Equations of the second kind with initial conditions. The series solutions of the problems under consideration are obtained by means of the iterative method. Four various problems are resolved with high accuracy to make evident the enforcement of the iterative method on such type of integro differential equations. Results were compared with the exact solution which exhibit that this technique has compatible with the right solutions, simple, effective and easy for solving such problems. To evaluate the results …
An Efficient Technique For Solving Bratu Type Equation Via Wavelet Orthonormal Boubakerpolynomials, Eman Hassan Ouda
An Efficient Technique For Solving Bratu Type Equation Via Wavelet Orthonormal Boubakerpolynomials, Eman Hassan Ouda
Al-Qadisiyah Journal of Pure Science
The aim of this research is to show the applicability of new truncated orthonormal Boubaker wavelet polynomials (OBWP's) for solving one dimensional Bratu-type equation with numerically by the aid of iteration technique. Some numerical examples were added to show the ability of this kind of polynomials comparing with exact results using Matlab. Also illustrating graphs were added to verify the efficiency of the method.
Coefficient Bounds And Fekete-Szegӧ Problem For A New Subclasses Of Holomorphic Bi-Univalent Functions Defined By Horadam Polynomials, Najah Ali Jiben Al-Zaidi, Abbas Kareem Wanas
Coefficient Bounds And Fekete-Szegӧ Problem For A New Subclasses Of Holomorphic Bi-Univalent Functions Defined By Horadam Polynomials, Najah Ali Jiben Al-Zaidi, Abbas Kareem Wanas
Al-Qadisiyah Journal of Pure Science
In the present paper, by making use the Horadam polynomials, we introduce and investigate two new subclasses and of the function class of holomorphic bi-univalent functions in the open unit disk Δ. For functions belonging to this subclasses, we obtain upper bounds for the second and third coefficients and discuss Fekete-Szegӧ problem. Furthermore, we point out several new special cases of our results.
Faber Polynomial For Holomorphic Functions Involving Differential Operator, Huda Fawzi Hussian, Abdul Rahman Salman Juma
Faber Polynomial For Holomorphic Functions Involving Differential Operator, Huda Fawzi Hussian, Abdul Rahman Salman Juma
Al-Qadisiyah Journal of Pure Science
The purpose of this paper, is to present differential operator for the univalent functions employ a Faber Polynomial . In addition, we will introduce some inclusion properties of the operator that were obtained employ the principle of subordination between holomorphic functions.
The New Weibull-Pareto Distribution Stress-Strength Reliability For P(T, Ali Mutair Attia, Nada Sabah Karam
The New Weibull-Pareto Distribution Stress-Strength Reliability For P(T, Ali Mutair Attia, Nada Sabah Karam
Al-Qadisiyah Journal of Pure Science
In this paper, the reliability formula of the stress-strength model is derived for probability of a component having strength X falling between two stresses T and Z, based on The New Weibull-Pareto Distribution with unknown parameter and known and common parameters and . Four methods for estimating the The New Weibull-Pareto parameters are discussed which are the Maximum Likelihood, Method of Moment, Least Square Method and Weighted Least Square Method, and the comparison between these estimations based on a simulation study by the mean square error criteria for each of the small, medium and large samples. The most important conclusion …
Estimating The Reliability Of A Component Between Two Stresses From Gompertz-Frechet Model, Sarah Adnan Jabr, Nada Sabah Karam
Estimating The Reliability Of A Component Between Two Stresses From Gompertz-Frechet Model, Sarah Adnan Jabr, Nada Sabah Karam
Al-Qadisiyah Journal of Pure Science
In this paper, the reliability of the stress-strength model is derived for probability P(
Symmetric Reverse Gamma *-4-Centralizers On Semiprimegamma Rings With Involution, Ikram A. Saed
Symmetric Reverse Gamma *-4-Centralizers On Semiprimegamma Rings With Involution, Ikram A. Saed
Al-Qadisiyah Journal of Pure Science
Let M be a -ring with involution . In this paper , we will introduce the concept of symmetric left(right) reverse *-4-centralizer of M . Then, we proved that the 4-additive mapping T:MxMxMxMM is a reverse *-4-centralizer of M under certain conditions .
The Performance Of Some Restricted Estimators In Restricted Linear Regression Model, Bader Aboud Mohammed, Mustafa Ismaeel Naif
The Performance Of Some Restricted Estimators In Restricted Linear Regression Model, Bader Aboud Mohammed, Mustafa Ismaeel Naif
Al-Qadisiyah Journal of Pure Science
In the linear regression model, the restricted biased estimation as one of important methods to addressing the high variance and the multicollinearity problems. In this paper, we make the simulation study of the some restricted biased estimators. The mean square error (MME) criteria are used to make a comparison among them. According to the simulation study we observe that, the performance of the restricted modified unbiased ridge regression estimator (RMUR) was proposed by Bader and Alheety (2020) is better than of these estimators. Numerical example have been considered to illustrate the performance of the estimators.
A Combination Of The Orthogonal Polynomials With Least –Squares Method For Solving High-Orders Fredholm-Volterra Integro-Differential Equations, Hameeda Oda Al-Humedi, Ahsan Fayez Shoushan
A Combination Of The Orthogonal Polynomials With Least –Squares Method For Solving High-Orders Fredholm-Volterra Integro-Differential Equations, Hameeda Oda Al-Humedi, Ahsan Fayez Shoushan
Al-Qadisiyah Journal of Pure Science
This study introduced new technique which is based on a combination of the least-squares technique (LST) with Chebyshev and Legendre polynomials for finding the approximate solutions of higher-order linear Fredholm-Volterra integro-differential equations (FVIDEs) subject to the mixed conditions. Two examples of second and third-order linear FVIDEs are considered to illustrate the proposed method, the numerical results are comprised to demonstrate the validity and applicability of this technique, and comparisons with the exact solution are made. These results have shown that the competence and accuracy of the present technique.
Harmonic Multivalent Functions Defined By General Integral Operator, Mays S. Abdul Ameer, Abdul Rahman S. Juma, Raheam A. Al-Saphory
Harmonic Multivalent Functions Defined By General Integral Operator, Mays S. Abdul Ameer, Abdul Rahman S. Juma, Raheam A. Al-Saphory
Al-Qadisiyah Journal of Pure Science
The main aim of the present work is to introduce the class of multivalent harmonic functions defined by the general integral operator. Thus, We get some geometric properties, like coefficients estimate, extreme point and distortion theorem, convolution property, radii of starlikeness, and convexity.
Some Results On A Two Variables Pell Polynomials, Mohammed Abdulhadi Sarhan, Suha Shihab, Mohammed Rasheed
Some Results On A Two Variables Pell Polynomials, Mohammed Abdulhadi Sarhan, Suha Shihab, Mohammed Rasheed
Al-Qadisiyah Journal of Pure Science
In this study, Pell polynomials in two variables, and their properties are investigated. Some formulas for two variables Pell polynomials are derived by matrices. By defining special formula for Pell polynomials in one variable, new important properties of Pell polynomials in two variables can be enabled to derive. A new exact formula expressing the partial derivatives of Pell polynomials explicitly of any degree in terms of Pell polynomials themselves is proved. A novel explicit formula, which constructs the two explicit formulas, which construct the two-dimension Pell polynomials expansion coefficients of a first partial derivative of a differentiable function in terms …
On Some Properties Of Pell Polynomials, Semaa Hassan Aziz, Suha Shihab, Mohammed Rasheed
On Some Properties Of Pell Polynomials, Semaa Hassan Aziz, Suha Shihab, Mohammed Rasheed
Al-Qadisiyah Journal of Pure Science
This work starts by reviewing the Pell polynomials; its definition and some basic properties. Afterwards, some new properties of such polynomials are investigated. A novel generalization analytical formula is provided defining explicitly the Pell polynomials derivatives of order n in terms of Pell polynomials themselves. Other explicit formula is concerned with the connection between the Pell polynomials expansion coefficients, this motivates are interest in such polynomials. These formulas are utilized to derive some mainly relationship related with power basis coefficients and Pell polynomials. With the Pell polynomials expansion technique, the powers are expressed in terms of Pell polynomials and an …
Existence Of Periodicsolutions Of A Nonlinear Allen-Cahn Equation With Neumann Condition, Raad Awad Hameed, Wafaa M. Taha, Sarah Majeed Talab
Existence Of Periodicsolutions Of A Nonlinear Allen-Cahn Equation With Neumann Condition, Raad Awad Hameed, Wafaa M. Taha, Sarah Majeed Talab
Al-Qadisiyah Journal of Pure Science
This research investigated the periodic solutions to a nonlinear diffusion Allen-Cahn equation with isolated Neumann problem. The theory of Leray-Schauder fixed point degree was adopted and the study showed that there exist nontrivial periodic solutions to the nonlinear diffusion Allen-Cahn equation with isolated Neumann problem by the topological degree theory.
On Projection Invariant Semisimple Modules, Yeliz Kara
On Projection Invariant Semisimple Modules, Yeliz Kara
Al-Qadisiyah Journal of Pure Science
In this paper, we introduce and investigate the notion of projection invariant semisimple modules. Some structural properties of aforementioned class of modules are studied. We obtain indecomposable decompositions of former class of modules under some module theoretical conditions. Moreover, we explore when the finite exchange property implies full exchange property for the class of projection invariant semisimple modules. Finally, we obtain that the endomorphism ring of a projection invariant semisimple modules is a π- Baer ring.
Exponential Acceleration To Improve Simpson's 3/8-Rule, Salah Mahdi Aflook, Adil Al-Rammahi
Exponential Acceleration To Improve Simpson's 3/8-Rule, Salah Mahdi Aflook, Adil Al-Rammahi
Al-Qadisiyah Journal of Pure Science
in this paper we present a developed method for improving the results of numerical integration by using accelerations on the Simpson rule 3/8 to obtain better results and about twice faster than this rule. It is very useful to reduce the error rate and facilitate access to more accurate results.
On Fuzzy Soft Projection Operators In Hilbert Space, Dr.Salim Dawood, Ali Qassim Jabur
On Fuzzy Soft Projection Operators In Hilbert Space, Dr.Salim Dawood, Ali Qassim Jabur
Al-Qadisiyah Journal of Pure Science
In this paper, we study and discussion new type of fuzzy soft operator which is fuzzy soft projection operator and fuzzy soft perpendicular projection operator ,and given some properties with characterization of tis operator also theorems related on fuzzy soft projection operator have been given. In addition we introduce the relation between this operator and other types.
Using Artificial Neural Network Model To Prediction The Number Of Peoples Afflicted By The Epidemic Of (Covid-19) In Iraq, Mohammed Habeb Al-Sharoot, Noor Chyad Alisawi
Using Artificial Neural Network Model To Prediction The Number Of Peoples Afflicted By The Epidemic Of (Covid-19) In Iraq, Mohammed Habeb Al-Sharoot, Noor Chyad Alisawi
Al-Qadisiyah Journal of Pure Science
Time-series prediction is an important statistical topic to help researchers in planning and making the right decisions, so this study deals with modern prediction methods, represented by the Artificial Neural Network models, specifically the multi-layered neural network, and the back propagation algorithm has been relied upon several times for training and less selection. A value for error to obtain the best model for describing the data, as well as classic prediction methods such as Box- Jenkins' models, the model was applied to real data represented by the number of people infected with Coronavirus (Covid-19) in Iraq for the period from …
Two Step And Newton-Raphson Algorithms In The Extraction For The Parameters Of Solar Cell, Mohammed Rasheed, Suha Shihab, Taha Rashid
Two Step And Newton-Raphson Algorithms In The Extraction For The Parameters Of Solar Cell, Mohammed Rasheed, Suha Shihab, Taha Rashid
Al-Qadisiyah Journal of Pure Science
The goal of this work is to find a numerical solution of nonlinear solar cell equation. This equation has been instructed using a single-diode model. The proposed method consists of solving the equation using two iterative methods with the initial value . Moreover, the Newton's and Two-step methods are used to determine the required the current, the voltage, and the power of the PV cell in the procedure of the present research. Different values of load resistance have introduced with these methods. The obtained results appeard that the proposed method is the most efficient compare with NRM and all the …
Stochastic Model Of The Absorption Of Drugs Problemin The Cells And Organs, Sajjad Abd-Al Hussein Haddad Alkhaldy, Ihsan Jabbar Kadhim
Stochastic Model Of The Absorption Of Drugs Problemin The Cells And Organs, Sajjad Abd-Al Hussein Haddad Alkhaldy, Ihsan Jabbar Kadhim
Al-Qadisiyah Journal of Pure Science
In this paper we create the stochastic differential equation for the problem of the Absorption of Drugs Problem in the Cells and Organs with fixed volume and then solve this equation and study the stability of the random solution.