• Level of Education

    5 years of post-secondary education

  • ECTS

    3 credits

  • Training Structure

    College of Sciences

  • Number of hours

    21h

Description

Mathematics for Computational Physics. Introduction to tools for the study of partial differential equations (distributions, variational formulation, Sobolev spaces).

Introduction to integral methods and their numerical implementation. Applications to diffraction problems in the harmonic regime.

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Objectives

Provide fundamental mathematical tools for computational physics. Solve variational or integral equations using finite element methods. Solve diffraction problems using the discrete dipole method.

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Mandatory Prerequisites

Math Courses for Physics (Integration, Fourier Analysis, Complex Analysis, Linear Algebra)

Recommended prerequisites:

Concepts of Structured Programming

 

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Knowledge Assessment

Course Outline

  • Distribution theory, Green's functions.
  • Sobolev spaces and trace spaces.
  • Variational Formulation of Elliptic Boundary Value Problems.
  • Integral equations, singular integral operators, microlocal analysis.
  • Introduction to the Finite Element Method.
  • Discrete Dipole Method and "Fast Multipoles" Method.
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