This course is offered to physics and chemistry students.

Recent lecture notes: 2026_NM.pdf

Main reference

J. V. Lambers, A. S. Mooney, V. A. Montiforte, Explorations in Numerical Analysis Python Edition, World Scientific, First Indian Edition 2021.

Further references for Numerical Methods

W. Cheney, D. Kincaid, Numerical Mathematics and Computing, Cengage Learning, 2013.
S. D. Conte, C. De Boor, Elementary Numerical Analysis: An Algorithmic Approach, McGraw-Hill International Editions, International Edition 1981.
D. G. Moursund, C. S. Duris, Elementary Theory and Applications of Numerical Analysis, Dover, 1988.
L. Elden, L. Wittmeyer-Koch, H. B. Nielsen, Introduction to Numerical Computation, Overseas Press, First Indian Edition 2006.
C. F. Van Loan, Introduction to Scientific Computing, Matlab Curriculum Series, 1997.

Further references for Python

K. Behrman, Foundational Python for Data Science, Pearson Education, 2023.
C. Dierbach, Introduction to Computer Science using Python, Wiley, 2013.
J. V. Guttag, Introduction to Computation and Programming using Python, MIT Press, 2017.
M. T. Goodrich, R. Tamassia, M. H. Goldwasser, Data Structures and Algorithms in Python (An Indian Adaptation), Wiley, 2021.

We will follow the book

Elementary Theory and Application of Numerical Analysis , David G. Moursund and Charles S. Duris, Dover Publications (1988).

Notes and programs etc. prepared for the course are available at https://github.com/raghurama123/nm2024 .

We will closely follow the content of the book

Numerical Methods in Physics with Python, Alex Gezerlis, Cambridge University Press (Edition-1, 2020).

Additional material and errata collected by the author are available here: www.numphyspy.org .

Notes and programs etc. prepared for the course are available at https://github.com/raghurama123/nm2023 .

Here is a tentative course outline: 2021_NM.pdf .