Numerical Linear Algebra :
Vector Norms, Matrix Norms, General Properties of Vector Norms.
Modern Methods for Solving Linear Systems of Equations:
Relative error bound, Condition number,
Matrix Decomposition Techniques : LU Factorization, Cholesky factorization for
positive definite symmetric matrices,
Relaxation Methods : Jocobi, Gauss-Siedel, Richardson,
Gradient Method : Preconditioning, Conjugate gradient method, Steepest decent
method iterative method : SOR Iterative methods.
Finite Difference Method :
Consistency, Stability and convergence of finite difference schemes, Introduction to finite difference schemes for solving some parabolic and hyperbolic equations.
Finite Element Methods :
Variational formulation of problem, Reitz-Galerkin formulation, Basic functions, Error bound, Mesh generation, Triangular elements, Rectangular elements, Assembly of element matrices, Dirichlet boundary condition, Neumann boundary condition, Incorporating boundary conditions into the set of equations.
Practicals using Matlab / Mathematica