The course is intended to introduce the student to:
Effective computational techniques for solving common
numerical problems those arise in engineering
applications in their related fields &
Efficient scientific programming using computational
techniques.
Mathematical modeling and engineering problem solving; The
number system errors; Solution of non-linear equations:
Bisection method, Secant method, Newton's method; Curve
fitting: Least square regression, Interpolations, Fourier
approximations; Solutions of systems of linear algebraic
equations: Matrices, Determinants and inverse problems,
Gauss-Siedle iteration, Gaussian-elimination, Numerical equations, Numerical differentiation
&integration: Trapezoidal-rule, Simpson's rule, Gaussquadrature, Romberg's integration; Eigen values and Eigen
vectors; Solution ofODEs: Euler's method, Runge-Kutta
method;
- Teacher: Krishnamoorthy Venkatesan