eng
University of Tabriz
Computational Methods for Differential Equations
2345-3982
2383-2533
2015-07-01
3
3
147
162
4716
Solving high-order partial differential equations in unbounded domains by means of double exponential second kind Chebyshev approximation
Mohamed Abdel-Latif Ramadan
ramadanmohamed13@yahoo.com
1
Kamal Mohamed Raslsn
kamal_raslan@yahoo.com
2
Talaat El-Sayed El-Danaf
talaat11@yahoo.com
3
Mohamed Abd El Salam
mohamed_salam1985@yahoo.com
4
Mathematics Department, Faculty of Science, Menoufia University, Shebein El-Koom, Egypt
Mathematics Department, Faculty of Science, Al-Azhar University, Nasr-City, Cairo, Egypt
Department of Mathematics and Statistics, Taibah University Madinah Munawwarah, KSA
Mathematics Department, Faculty of Science Al-Azhar University, Nasr-City, 11884, Cairo, Egypt
In this paper, a collocation method for solving high-order linear partial differential equations (PDEs) with variable coefficients under more general form of conditions is presented. This method is based on the approximation of the truncated double exponential second kind Chebyshev (ESC) series. The definition of the partial derivative is presented and derived as new operational matrices of derivatives. All principles and properties of the ESC functions are derived and introduced by us as a new basis defined in the whole range. The method transforms the PDEs and conditions into block matrix equations, which correspond to system of linear algebraic equations with unknown ESC coefficients, by using ESC collocation points. Combining these matrix equations and then solving the system yield the ESC coefficients of the solution function. Numerical examples are included to test the validity and applicability of the method.
http://cmde.tabrizu.ac.ir/article_4716_865a972e969ce0256b6db9b8006f6073.pdf
Exponential second kind Chebyshev functions
High-order partial differential equations
Collocation method
eng
University of Tabriz
Computational Methods for Differential Equations
2345-3982
2383-2533
2015-07-01
3
3
163
176
4771
Iterative scheme to a coupled system of highly nonlinear fractional order differential equations
Kamal Shah
kamalshah408@gmail.com
1
Rahmat Khan
rahmat_alipk@yahoo.com
2
Department of Mathematics, University of Malakand, Chakadara Dir(L), Khyber Pakhtunkhwa, Pakistan
Department of Mathematics, University of Malakand, Chakadara Dir(L), Khyber Pakhtunkhwa, Pakistan
In this article, we investigate sufficient conditions for existence of maximal and minimal solutions to a coupled system of highly nonlinear differential equations of fractional order with mixed type boundary conditions. To achieve this goal, we apply monotone iterative technique together with the method of upper and lower solutions. Also an error estimation is given to check the accuracy of the method. We provide an example to illustrate our main results.
http://cmde.tabrizu.ac.ir/article_4771_2caa42796fa9abd0485bb9672a8dd0b4.pdf
Coupled system
Mixed type boundary conditions, Upper and lower solutions, Monotone iterative technique, Existence and uniqueness results
eng
University of Tabriz
Computational Methods for Differential Equations
2345-3982
2383-2533
2015-07-01
3
3
177
191
4770
Solution of Bang-Bang Optimal Control Problems by Using Bezier Polynomials
Ayatollah Yari
a_yary@yahoo.com
1
Mirkamal Mirnia
mirnia-kam@tabrizu.ac.ir
2
Aghileh Heydari
a_heidari@pnu.ac.ir
3
Department of Applied Mathematics, Faculty of Mathematical Sciences, Payame Noor University, PO BOX 19395-3697, Tehran, Iran
Department of Applied Mathematics, Faculty of Mathematical Sciences, University of Tabriz
Department of Applied Mathematics, Faculty of Mathematical Sciences, Payame Noor University, PO BOX 19395-3697, Tehran,Iran
In this paper, a new numerical method is presented for solving the optimal control problems of Bang-Bang type with free or fixed terminal time. The method is based on Bezier polynomials which are presented in any interval as $[t_0,t_f]$. The problems are reduced to a constrained problems which can be solved by using Lagrangian method. The constraints of these problems are terminal state and conditions. Illustrative examples are included to demonstrate the validity and applicability of the method.
http://cmde.tabrizu.ac.ir/article_4770_a00ee50be84f54611ea5e5335b492e2d.pdf
Optimal control
Bang-Bang control
Minimum-time
Bezier polynomials family
Best approximation
eng
University of Tabriz
Computational Methods for Differential Equations
2345-3982
2383-2533
2015-07-01
3
3
192
199
4774
Explicit exact solutions for variable coefficient Broer-Kaup equations
Manjit Singh
manjitcsir@gmail.com
1
R.K. Gupta
rajeshgupt@thapar.edu
2
Yadawindra College of Engineering Punjabi University Guru Kashi Campus Talwandi Sabo-151302, Punjab, India
Centre for Mathematics and Statistics School of Basic and Applied Sciences, Central University of Punjab, Bathinda-151001, Punjab, India
Based on symbolic manipulation program Maple and using Riccati equation mapping method several explicit exact solutions including kink, soliton-like, periodic and rational solutions are obtained for (2+1)-dimensional variable coefficient Broer-Kaup system in quite a straightforward manner. The known solutions of Riccati equation are used to construct new solutions for variable coefficient Broer-Kaup system.
http://cmde.tabrizu.ac.ir/article_4774_835457e718ceb27933e9085f35bb7eb9.pdf
Broer-Kaup equations
Riccati equation mapping method
Explicit exact solutions
eng
University of Tabriz
Computational Methods for Differential Equations
2345-3982
2383-2533
2015-07-01
3
3
200
217
4972
An application of differential transform method for solving nonlinear optimal control problems
Alireza Nazemi
nazemi20042003@gmail.com
1
Saiedeh Hesam
taranome2009@yahoo.com
2
Ahmad Haghbin
ahmadbin@yahoo.com
3
Department of Mathematics, School of Mathematical Sciences, Shahrood University of Technology, P.O. Box 3619995161-316, Tel-Fax No:+98 23-32300235, Shahrood, Iran
Department of Mathematics, School of Mathematical Sciences, Shahrood University of Technology, P.O. Box 3619995161-316, Tel-Fax No:+98 23-32300235, Shahrood, Iran
Department of Mathematics, Gorgan branch, Islamic Azad University, Gorgan, Iran
In this paper, we present a capable algorithm for solving a class of nonlinear optimal control problems (OCP's). The approach rest mainly on the differential transform method (DTM) which is one of the approximate methods. The DTM is a powerful and efficient technique for finding solutions of nonlinear equations without the need of a linearization process. Utilizing this approach, the optimal control and the corresponding trajectory of the OCP's are found in the form of rapidly convergent series with easily computed components. Numerical results are also given for several test examples to demonstrate the applicability and the efficiency of the method.
http://cmde.tabrizu.ac.ir/article_4972_22d60c5610c1acd953ee761bc55ca38e.pdf
Optimal Control Problems
Differential transform method
Hamiltonian system
eng
University of Tabriz
Computational Methods for Differential Equations
2345-3982
2383-2533
2015-07-01
3
3
218
230
4974
Non-polynomial Spline Method for Solving Coupled Burgers Equations
Khalid K. Ali
khalidkaram2012@yahoo.com
1
K. R. Raslan
kamal_raslan@yahoo.com
2
Talaat S. El-Danaf
talaat11@yahoo.com
3
Department, Faculty of Science, Al-Azhar University, Nasr City (11884), Cairo, Egypt
Department, Faculty of Science, Al-Azhar University, Nasr City (11884), Cairo, Egypt.
Mathematics Department, Faculty of Science, Menoufia University, Shebein El-Koom, Egypt
In this paper, non-polynomial spline method for solving Coupled Burgers Equations are presented. We take a new spline function. The stability analysis using Von-Neumann technique shows the scheme is unconditionally stable. To test accuracy the error norms 2L, L are computed and give two examples to illustrate the sufficiency of the method for solving such nonlinear partial differential equations. These results show that the technique introduced here is accurate and easy to apply.
http://cmde.tabrizu.ac.ir/article_4974_e3d373c5ccd58d93abdaae09981caee2.pdf
Non-polynomial
spline method
Coupled
Burger’s
Equations