International Journal of Mathematical Modelling & Computations
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International Journal of Mathematical Modelling & Computationsendaily1Tue, 01 Dec 2020 00:00:00 +0330Tue, 01 Dec 2020 00:00:00 +0330Mathematical Model of HIV and Cholera Co-infection in the Presence of Treatment
http://ijm2c.iauctb.ac.ir/article_679832.html
In the current study, a deterministic mathematical model of HIV and Cholera co-infection is developed to analyze the impact of treatments in the presence of diseases in the population. The model consists of nine classes of the human population and one class of bacteria population. The formulated model is mathematically well-posed and biologically meaningful. The reproduction number is employed to analyze the extinction or spreading of the disease in the population. it is observed that cholera has a positive impact on HIV patients and HIV also has a positive impact on cholera patients. A separate analysis of each infection model and co-infection model is presented. Further, the stability analysis of equilibrium points is included. Finally, numerical simulations are performed using Matlab software. The result of numerical simulations shows that early treatment is very powerful for clearing or controlling cholera within a specified period of time and supports HIV/AIDS patients to live more years.Mathematical Model of Herpes Simplex Virus – II (HSV-II) with Global Stability Analysis
http://ijm2c.iauctb.ac.ir/article_679833.html
In this paper, a nonlinear deterministic mathematical model of ordinary differential equations has been formulated to describe the transmission dynamics of HSV-II. The well-posedness of the formulated model equations was proved and the equilibrium points of the model have been identified. In addition, the basic reproduction number that governs the disease transmission was obtained from the largest eigenvalue of the next-generation matrix. Both local and global stability of the disease-free equilibrium and endemic equilibrium point of the model equation was established using the basic reproduction number. The results show that, if the basic reproduction is less than one then the solution converges to the disease-free steady-state and the disease-free equilibrium is locally asymptotically stable. On the other hand, if the basic reproduction number is greater than one the solution converges to endemic equilibrium point and the endemic equilibrium is locally asymptotically stable. Also, sensitivity analysis of the model equation was performed on the key parameters to find out their relative significance and potential impact on the transmission dynamics of HSV-II. Finally, numerical simulations of the model equations are carried out using the software DE Discover 2.6.4 and MATLAB R2015b with ODE45 solver. The results of simulation show that treatment minimizes the risk of HSV-II transmission from the community and the stability of disease-free equilibrium is achievable when R_0On extension of generalized Laguerre polynomials of two variable
http://ijm2c.iauctb.ac.ir/article_679834.html
In this paper, we introduce a new extension of generalized Laguerre polynomialsof two variable by using the extended Beta function. Some properties of theseextension polynomials such as generating functions, integral representation, recurrencerelations and summation formulae are obtained.Modeling Banana Xanthomonas Wilt with Protection
http://ijm2c.iauctb.ac.ir/article_679835.html
Banana Xanthomonas Wilt (BXW) is an infectious disease caused by Xanthomonascampestris pv. musacearum. The model incorporates a new class of protected bananaplants into banana plant population. This new class are the susceptible banana plant thatare treated with fertilizers. The basic reproduction number, Ro, is obtained using nextgeneration matrix. The model analysis is done and equilibrium points are analysed toestablish the local and global stability of disease-free and endemic equilibrium solution.It is shown that if the basic reproduction number, Ro 1, then banana xanthomonas wiltis cleared from banana plantation and is globally asymptotically stable and if Ro > 1,the endemic equilibrium point is globally asymptotically stable and the disease persistsin banana plant population. The impact of parameters in BXW model is investigatedusing sensitivity analysis. Numerical simulations are performed to justify the analyticalndings.A new iterative method of successive approximation to solve nonlinear Urysohn integral equations by Haar wavelet
http://ijm2c.iauctb.ac.ir/article_679836.html
In this paper, a new method for calculating the numerical approximation of the nonlinear Urysohn integral equations is proposed based on Haar wavelets. Also, the convergence analysis and numerical stability of these method are discussed. Conducting numerical experiments conﬁrm the theoretical results of the applied method and endorse the accuracy of the method.An Optimum Line Search for Unconstrained Non-Polynomial Test Functions using Nonlinear Conjugate Gradient Methods
http://ijm2c.iauctb.ac.ir/article_679837.html
The nonlinear conjugate gradient method solves issues of the frame: minimizef(▁x),▁x&isin;R employing an iterative plot, ▁x^((k+1))=▁x^((k))+&alpha;_k ▁d^((k)), where f is a non-polynomial function.We utilized two variants of the optimum line search namely, direct and indirect methods, to compute the step-length in this paper. Both line searches yielded a great outcome when employed to a few unconstrained non-polynomial test functions.Modelling the impact of trapping blackfly vectors on the transmission of onchocerciasis
http://ijm2c.iauctb.ac.ir/article_679838.html
Onchocerciasis, usually referred to as river blindness, a skin and eye parasitic infestation is caused by the filarial nematode Onchocerca volvulus. Current control and eradication efforts are being frustrated by the continued existence and thriving of blackflies which are the disease transmitting vectors that breed along the banks of fast flowing and highly oxygenated rivers and streams. This study aims at assessing the effect of using vector traps on the transmission and control of onchocerciasis. A host-vector deterministic model which incorporates vector trapping by use of a system of ordinary differential equations is developed. The model is analysed for steady states and the basic reproduction number is obtained using the next generation method. It is found that the disease free steady state is stable if the basic reproduction number R0 &lt; 1. There exists a unique endemic equilibrium which is locally and globally asymptotically stable if R0 &gt; 1. Numerical simulations show that trapping the blackfly vectors has an effect on the spread and control of the disease. However, it is discovered that using traps alone is not a sufficient strategy and needs to be combined with other methods if the disease is to be completely wiped out of the population.The Lindley-Lindley Distribution: Characterizations, Copula, Properties, Bayesian and Non-Bayesian Estimation
http://ijm2c.iauctb.ac.ir/article_681361.html
A new continuous distribution called Lindley-Lindley distribution is definedand studied. Relevant mathematical properties are derived. Wepresent three characterizations of the new distribution based on conditionalexpectation (truncated moment) of certain function of the random variable;the hazard function and in terms of the conditional expectation of afunction of the random variable. Some new bivariate type distributions usingFarlie Gumbel Morgenstern copula, modified Farlie Gumbel Morgenstern copula and Clayton copula are introduced. The mainjustification of this paper is to show how different frequentist estimatorsof the new model perform for different sample sizes and different parametervalues, and to provide a guideline for choosing the best estimation methodfor the parameter of the proposed model. The unknown parameters of the newdistribution are estimated using the maximum likelihood method, ordinaryleast squares method, Cramer-Von-Mises method, weighted least squaresmethod and Bayesian method. The obtained estimators are compared usingMarkov chain Monte Carlo simulations and observed that Bayesian estimatorsare generally more efficient than the other estimators.