2018
8
1
29
0
A New Implicit Finite Difference Method for Solving Time Fractional Diffusion Equation
2
2
In this paper, a time fractional diffusion equation on a finite domain is con sidered. The time fractional diffusion equation is obtained from the standard diffusion equation by replacing the first order time derivative by a fractional derivative of order 0 < a< 1 (in the RiemannLiovill or Caputo sence). In equation that we consider the time fractional derivative is in the Caputo sense. We propose a new finite difference method for solving time fractional diffu sion equation. In our method firstly, we transform the Caputo derivative into RiemannLiovill derivative. The stability and convergence of this method are investigated by a Fourier analysis. We show that this method is uncondition ally stable and convergent with the convergence order O( 2+h2), where t and h are time and space steps respectively. Finally, a numerical example is given that confirms our theoretical analysis and the behavior of error is examined to verify the order of convergence.
1

1
14


elham
afshari
Islamic Azad University,khomain Branch
Islamic Azad University,khomain Branch
Iran
math_afshar@yahoo.com
fractional derivative
finite difference method
Stability and convergence
Fourier analysis
time fractional diffusion equation
Transient Solution of an M/M/1 Variant Working Vacation Queue with Balking
2
2
This paper presents the transient solution of a variant working vacation queue with balking. Customers arrive according to a Poisson process and decide to join the queue with probability $b$ or balk with $bar{b} = 1b$. As soon as the system becomes empty, the server takes working vacation. The service times during regular busy period and working vacation period, and vacation times are assumed to be exponentially distributed and are mutually independent. We have obtained the transientstate probabilities in terms of modified Bessel function of the first kind by employing probability generating function, continued fractions and Laplace transform. In addition, we have also obtained some other performance measures.
1

17
27


Vijaya Laxmi
Pikkala
Andhra University
Andhra University
Iran
vijaya_iit2003@yahoo.co.in


Rajesh
Pilla
Mathematics Department, Andhra University, Visakhapatnam
Mathematics Department, Andhra University,
Iran
rajbellman@gmail.com
Queue
transient probabilities
variant working vacations
balking
probability generating function
continued fractions
Laplace transform
An Optimal G^2Hermite Interpolation by Rational Cubic Bézier Curves
2
2
In this paper, we study a geometric G^2 Hermite interpolation by planar rational cubic Bézier curves. Two data points, two tangent vectors and two signed curvatures interpolated per each rational segment. We give the necessary and the sufficient intrinsic geometric conditions for two C^2 parametric curves to be connected with G2 continuity. Locally, the free parameters within a rational cubic Bézier curve should be determined by minimizing a maximum error. We finish by proving and justifying the efficiently of the approaching method with some comparative numerical and graphical examples.
1

29
38


Driss
Sbibih
Department of Mathematics, Faculty of Sciences, University Mohammed First
Department of Mathematics, Faculty of Sciences,
Iran
sbibih@yahoo.fr


Bachir
Belkhatir
LANO Laboratory, University Mohammed First, Oujda, Morocco
LANO Laboratory, University Mohammed First,
Iran
bachirbelkhatir@yahoo.fr
Hermite interpolation
Rational curve
G^2 continuity
Geometric conditions
Optimization
Stability Analysis and Optimal Control of Vaccination and Treatment of a SIR Epidemiological Deterministic Model with Relapse
2
2
In this paper, we studied and formulated the relapsed SIR model of a constant size population with standard incidence rate. Also, the optimal control problem with treatment and vaccination as controls, subject to the model is formulated. The analysis carried out on the model, clearly showed that the infection free steady state is globally asymptotically stable if the basic reproduction number is less than unity, and the endemic steady state, also, is globally asymptotically stable if the basic reproduction number (R0) is greater than unity. The results obtained from the simulations were analyzed and discussed.
1

39
51


Sunday
Fadugba
Department of Mathematics, Faculty of Science, Ekiti State University, Nigeria
Department of Mathematics, Faculty of Science,
Iran
sunday.fadugba@eksu.edu.ng


Temitope
Ogunlade
Department of Mathematics, EkitiState University (EKSU), AdoEkiti. EkitiState, Nigeria
Department of Mathematics, EkitiState University
Iran
topsmatic@gmail.com


Oluwatayo
Ogunmiloro
Department of Mathematics, Faculty of Science, Ekiti State University, Nigeria
Department of Mathematics, Faculty of Science,
Iran
oluwatayo.ogunmiloro@eksu.edu.ng
Global stability
Local stability
Lyapunov
Optimal Control
Pontryagin maximum principle
A Novel Finite Difference Method of Order Three for the Third Order Boundary Value Problem in ODEs
2
2
In this article we have developed third order exact finite difference method for the numerical solution of third order boundary value problems. We constructed our numerical technique without change in structure of the coefficient matrix of the secondorder method in cite{Pand}. We have discussed convergence of the proposed method. Numerical experiments on model test problems approves the simply high accuracy and efficiency of the method.
1

53
60


Pramod
Pandey
university
university
Iran
pramod_10p@hotmail.com
Boundary Value Problem
Difference Method
Third Order Convergence
Third Order Differential Equation
Numerical Solution of The FirstOrder Evolution Equations by Radial Basis Function
2
2
In this work, we consider the nonlinear firstorder evolution equations: $u_t=f(x,t,u,u_x,u_{xx})$ for $0<t<infty$, subject to initial condition $u(x,0)=g(x)$, where $u$ is a function of $x$ and $t$ and $f$ is a known analytic function. The purpose of this paper is to introduce the method of RBF to existing method in solving nonlinear firstorder evolution equations and also the method is implemented in four numerical examples. The results reveal that the technique is very effective and simple.
1

61
66


Sara
Hosseini
Qazvin Branch, Islamic Azad University
Qazvin Branch, Islamic Azad University
Iran
s_hosseini66@yahoo.com
Firstorder evolution equations
Radial basis function
Newton's method
nonlinear equations