Course Details
Subject {L-T-P / C} : MA4271 : Scientific Computing Laboratory { 0-0-3 / 2}
Subject Nature : Practical
Coordinator : Snehashish Chakraverty
Syllabus
| Module 1 : |
Experiments on numerical methods for root finding, solving linear system of equations, non-linear system of equations, interpolation, Eigen value problems, numerical differentiation, integration and solution of ordinary differential equations, Least square methods. Numerical solutions of ODEs and PDEs. Application problems related to the above methods. |
Course Objective
| 1 . |
The aim of the course is to teach students basic methods and principles of scientific computing |
| 2 . |
To use different programming language/packages |
| 3 . |
To learn about solving related application problems. |
Course Outcome
| 1 . |
The aim of the course is to teach students basic methods and principles of scientific computing to enable them to solve basic and frequently ocurring mathematical problems using computers and numerical software. |
Essential Reading
| 1 . |
S. D. Conte and Carl de Boor, Elementary Numerical Analysis - An Algorithmic Approach, Society for Industrial and Applied Mathematics , 2018 |
| 2 . |
R.B. Bhat and S. Chakraverty, Numerical Analysis in Engineering, Narosa Publishing House/Alpha Science Int. Ltd. (U.K.) , 2004/2007 |
Supplementary Reading
| 1 . |
R. L. Burden, J. Douglas Faires, Numerical Analysis, Cengage Learning , 2011 |
| 2 . |
K. E. Atkinson, An Introduction to Numerical Analysis, Wiley India Pvt. Limited , 2008 |