Details of MA3105 (Autumn 2020)

Level: 3 Type: Laboratory Credits: 4.0

Course CodeCourse NameInstructor(s)
MA3105 Numerical Analysis Koel Das

Preamble
This course will have 2 theory hours and 2 lab hours

Syllabus
Interpolation: Newtons forward, backward and divided difference formulae; Lagranges method; Gauss, Stirling and Bessels formulae; spline interpolation.

Solution of Systems of Linear Equations: Gauss elimination method, Thomas algorithm, Gauss-Jacobi and Gauss-Seidel methods.

Eigenvalues and Eigenvectors: Power method, Jacobis method, Givens method, Householders method.

Solution of Non-linear Equations: Bisection method, fixed point iteration, Newton-Raphson, secant and regula-falsi methods.

Solution of System of Non-linear equations: Fixed-point method and Newtons method.

Numerical Differentiation: Formulae based on Newtons forward, backward, divided difference, and Lagranges formulae.

Numerical Integration: Trapezoidal rule, Simpsons 1/3rd and 3/8th rules, Weddles rule, quadrature formulae based on Stirlings and Bessels interpolation formulae.

Solution of Differential Equations: Taylors series method, Picards method and Runge-Kutta methods (1st, 2nd and 4th orders) for solving ODEs.

Prerequisite
Linear Algebra I (MA2102) and Analysis II (MA2201)

References

  1. Atkinson, K., Elementary Numerical Analysis, Wiley.

  2. Burden, R.L. and Faires, J.D., Numerical Analysis, Brooks/Cole, International edition.

  3. Conte, S.D. and De Boor, C., Elementary Numerical Analysis: An Algorithmic Approach, Tata McGraw-Hill.

  4. Froberg, C.E., Introduction to Numerical Analysis, Addison-Wesley.

  5. Scarborough, J.B., Numerical Mathematical Analysis, Johns Hopkins University Press.


Course Credit Options

Sl. No.ProgrammeSemester NoCourse Choice
1 IP 1 Elective
2 IP 3 Not Allowed
3 IP 5 Not Allowed
4 MR 1 Not Allowed
5 MR 3 Not Allowed
6 MS 5 Elective
7 MS 7 Not Allowed
8 MS 9 Not Allowed
9 RS 1 Elective
10 RS 2 Elective