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Numerical Analysis-I (MSc-Mathematics, MATH-605)
Week 01: 1. Error analysis: Floating point arithmetic, Approximations and errors
Week 01: 1. Error analysis: Floating point arithmetic, Approximations and errors
Error analysis: Floating point arithmetic
Approximations and errors
Download Files
introduction.pdf (9.45 MB )
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Course Material
Week 01: 1. Error analysis: Floating point arithmetic, Approximations and errors
week 03: Bisection method, regula-falsi method
Week 02: Methods for the solution of nonlinear equations
Week 04: Newton-Raphson method, secant method, error analysis for iterative methods
Week 05: Interpolation and polynomial approximation
Week 06: Forward, backward and centered difference formulae,
Week 07: Lagrange interpolation, Newton’s divided difference formula
Week 08: Interpolation with a cubic spline, Hermite interpolation, least squares approximation.
Week 09: Mid Terms
Week 10: Numerical differentiation and Integration: Forward, backward and central difference formulae
Week 11: Richardson’s extrapolation, Newton-Cotes formulae, Numerical integration Rectangular rule, trapezoidal rule, Simpson’s 1/3 and 3/8 rules
Week 12: Boole’s and Weddle’s rules, Gaussian quadrature
Week 13: Numerical solution of a system of linear equations Direct methods: Gaussian elimination method
Week 14: Gauss-Jordan method; matrix inversion; LU-factorization
Week 15: Doolittle’s, Crout’s and Cholesky’s methods
Week 16: Iterative methods: Jacobi, Gauss-Seidel and SOR
Week 17: Eigen values problems Introduction, Power Method, Jaccobi's Method.
Week 18: Final Terms
Chapters
18
Department
Mathematics
Teacher
Dr. Muhammad Faheem Khan