Practicals

Syllabus

1.   Applications of Lagrange’s, Inverse interpolation. 

2.  Applications of Hermite and Spline Interpolations. 

3. Approximation of a function by Chybeshev’s polynomial 

4.  Solution of nonlinear equations using methods of bisection & Regula-falsi 

5. Use of Newton-Raphson and its modified version 

6. Determination of Eigen value and eigen vector of a matrix 

7. Finite difference method for ODE 

8. Solution of IVP and BVP using finite difference methods of an ODE

 9. Explicit and Implicit methods for numerical solutions of PDE 

Some Notes