8136 (v.5) Numerical Methods 202

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Area:	Department of Mathematics and Statistics
Contact Hours:	4.0
Credits:	25.0
Lecture:	3 x 1 Hours Weekly
Tutorial:	1 x 1 Hours Weekly
Prerequisite(s):	4515 (v.5) Scientific Computing 201 or any previous version
Ordinary differential equations - Taylor series methods, Runge Kutta methods, predictor-corrector methods, stability analysis and two-point boundary-value problems. Eigenvalue problem - power method, similarity transformations, Jacobi's method, Given's method and eigenvalues of tridiagonal matrices. Approximation theory - data fitting, least squares approximation, orthogonal polynomials and approximation using Legendre and Chebyshev polynomials. Iterative methods.