Pre-requisite: MAT216
Fixed Point Arithmetic, Polynomial Interpolation, Differentiation, Nonlinear Equations, Linear Equations, Least-Squares Approximation, Numerical Integration
The course will help students to recognize the need for numerical analysis, and the importance of error analysis. They will learn various methods to linearize a polynomial, differentiate and integrate different functions by using approximations, and finally how to solve the linearized equation by using the laws of linear algebra, like Gaussian elimination, QR decomposition, etc.
1. Numerical Analysis II – Lecture Notes. (Main Text), Anthony Yeates., 2018, Durham University
2. Numerical Methods In Engineering With Python., Jaan Kiusalaas., 2005, First Edition, Cambridge University Press, ISBN-13: 978-0-521-85287-6 ISBN-10:0-521-85287-0
3. Numerical Analysis (Reference), Richard L. Burden, J. Douglas Faires, 2011, Ninth Edition, BROOKS/COLE CENGAGE Learning, ISBN-13:978-0-538-73351-9 ISBN-10:0-538-73351-9
Text and Reference Books, Lecture Notes/Handouts
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