Week 07-08: Nonlinear least-squares method for exponential functions, Transformations for data linearization.
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Course Material
- Week 01-02: Basic concepts of Euclidean geometry, Scalar and vector functions, Barycentric coordinates, convex hull,
- Week 03-04: Matrices of affine maps, Translation, Rotation, Scaling, Reflection and shear.
- Week 05-06: Curve fitting, Least squares line fitting, Least squares power fit, Data linearization method for exponential functions.
- Week 07-08: Nonlinear least-squares method for exponential functions, Transformations for data linearization.
- Week 09: Mid Term Examination
- Week 10-11: Linear least squares, Polynomial fitting, Basic concepts of interpolation, Lagrange’s method.
- Week 12-13: Error terms and error bounds of Lagrange’s method, Divided differences method, Newton polynomials.
- Week 14-15: Error terms and error bounds of Newton polynomials, Central difference interpolation formulae.
- Week 16-17: Gauss’s forward interpolation formula, Gauss’s backward interpolation formula, Hermite’s methods.
- Week 18: Final Term Examination
- Chapters 10
- Department Mathematics
- Teacher
Dr. Muhammad Abbas
