Approximate method for the numerical solution of singular perturbation problems
Applied Mathematics and Computation
Numerical solution of singular perturbation problems via deviation arguments
Applied Mathematics and Computation
Numerical treatment of singularity perturbed two point boundary value problems
Applied Mathematics and Computation
Singular perturbation methods for ordinary differential equations
Singular perturbation methods for ordinary differential equations
A computational method for solving singular perturbation problems
Applied Mathematics and Computation
Applied Mathematics and Computation
Applied Mathematics and Computation
Applied Mathematics and Computation
International Journal of Computer Mathematics
A recent survey on computational techniques for solving singularly perturbed boundary value problems
International Journal of Computer Mathematics
WSEAS Transactions on Mathematics
Neural, Parallel & Scientific Computations
Computers & Mathematics with Applications
Neural, Parallel & Scientific Computations - Special issue on computational techniques for differential equations will applications
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Singularly perturbed two-point boundary value problems (SPBVPs) for third-order ordinary differential equations (ODEs) with a small parameter multiplying the highest derivative are considered. A numerical method is suggested in this paper to solve such problems. In this method, the given BVP is transformed into a system of two ODEs subject to suitable initial and boundary conditions. Then the domain of definition of the differential equation (a closed interval) is divided into two sub-intervals, which we call the inner region (boundary layer) and the outer region. Then the DE is solved in these intervals separately. The solutions obtained in these intervals are combined to give the solution in the whole interval. To obtain boundary conditions at the transition points (boundary values inside this interval) we use mostly the zeroth-order asymptotic expansion of the solution of the BVP or a suitable asymptotic expansion solution. First, the linear equations are considered and then the semi-linear equations. To solve semilinear equations Newton's method of quasi-linearisation is applied. Examples are provided to illustrate the method. The method is easy to implement and suitable for parallel computing.