Computational Mathematics and its applications

• Development of Iterative Techniques for solving nonlinear Equations.
• Approximation techniques for definite integrals.
• Development of Finite element and Finite difference methods for solving ODE's and PDE's.
• Construction of iterative methods for solving large system of linear equations.
• Optimization techniques for scientific problems.
• Exact solution of nonlinear evolution problems arising in mathematical physics
• Numerical study of fractional-order physical problems
• Extension and development of spectral methods
• Mathematical modelling through fractional calculus