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Course

PHYS-332: Computational physics III

Summary

This course teaches the students practical skills needed for solving modern physics problems by means of computation. A number of examples illustrate the utility of numerical computations in various domains of physics.

Lectures

Instructors

Official source

https://edu.epfl.ch/coursebook/en/computational-physics-iii-PHYS-332

Moodle Page

http://go.epfl.ch/PHYS-332

About this result

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Summary

Lectures

Instructors

Official source

https://edu.epfl.ch/coursebook/en/computational-physics-iii-PHYS-332

Moodle Page

http://go.epfl.ch/PHYS-332

About this result

Ontological neighbourhood

Mathematics

Algebra: Linear algebra

Analysis: Numerical analysis

Information engineering

Signal processing: Fourier analysis

Lectures in this course (14)

Numerical Physics: Fourier Transforms and Linear Algebra

Covers advanced topics in computational physics, focusing on Fourier transforms and linear algebra.

Fourier Series and Analysis

Covers Fourier series, analysis, the heat equation, Gibbs phenomenon, and Fourier transform properties.

Iterative Methods for Linear Equations

Introduces iterative methods for linear equations, convergence criteria, gradient of quadratic forms, and classical force fields in complex atomistic systems.

Conjugate Gradient Methods: Overview

Provides an overview of conjugate gradient methods, including preconditioning, nonlinear conjugate gradient, and singular value decomposition.

Singular Value Decomposition: Theory and Applications

Covers the theory and applications of Singular Value Decomposition in computational physics, including solving linear systems and polynomial fits.

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