MTech Advanced Computational Methods & Optimization syllabus for 1 Sem 2018 scheme 18CEE11

Module-1 Module -1 12 hours

Statistics:

Frequency Distribution – Characteristics of Distributions: Central tendency and dispersion. methods of least square and regression, multiple regression, Solutions of regression analysis problems Analysis of Variance.

Module-2 Module -2 8 hours

Probability:

Concept of probability, Random Variables, Binomial, Poisson and Normal distribution – applications, Chisquared test, F test, t-test.

A d v e r t i s e m e n t
Module-3 Module -3 12 hours

Optimization:

Concept, need, importance and applications related to environmental engineering, Single and multivariable optimization without and with constraints. Linear programming – standard form of problems, pivotal reduction of equations. Solutions of linear programming problems, Simplex method – single and two phase methods, Concept of Dual Linear Programming and conversion of primal to Dual.

Module-4 Module -4 8 hours

Non-Linear Programming:

Numerical search methods nonlinear problems-Dichotomous. Fibonacci and Golden section methods. Quadratic and cubic interpolation methods.

Module-5 Module -5 10 hours

Numerical Methods:

Newton – Raphson method for solution of algebraic and transcendental equations, Numerical solutions of partial differential equations – finite difference, solution of elliptic, parabolic and hyperbolic equations.