Week 1: Computer Arithmetic; approximations and errors
Sankara K. Numerical Methods for Scientists and Engineers. 2nd ed. New Delhi: Prentice Hall, 2005
Page # 1-8
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Course Material
- Week 1: Computer Arithmetic; approximations and errors
- Week 2: Methods for the solutions of non-linear equations and their convergence
- Week 3: Bisection method
- Week 4: Regular Falsi method
- Week 5: Fixed point iteration method, Newton's Rephson method
- Week 6: Secant method, error analysis of iterative method
- Week 7: Gauss-Elimination method, Gauss-Jordan method
- Week 8: Muller's Method, Graeffe's root squaring method, Bairstow Method
- Week 10: Matrix inversion, LU-factorization
- Week 11: Doolittle's Crount's, Cholesk's methods
- Week 12: Gauss-Seidal and Jacobi methods
- Week 13: Interpolation and polynomial approximation
- Week 14: Lagrange interpolation
- Week 15: Newton's divided difference, forward difference and backward difference formulae
- Week 16: Hermite interpolation, Numerical integration and error estimates
- Week 17: Rectangular rule, Trapezoidal rule, Simpson's rule
- Week 18: Final Term Exam
- Week 9: Mid Term Exam
- Chapters 18
- Department Mathematics
- Teacher
Dr. Javaria Farooq
