Melbourne Graduate School of Science

Computational Differential Equations

Overview

This subject discusses techniques to determine numerical solutions to a variety of problems commonly encountered in science and engineering. Understanding the behaviour of the mathematical problem gives insight into the pitfalls for the unwary in using canned packages inappropriately or uncritically.

Topics will include boundary value problems for ordinary differential equations, the solution of parabolic, hyperbolic and elliptic partial differential

Subject objectives

After completing this subject, students should:

  • appreciate the behaviour of common mathematical problems
  • appreciate the relevant techniques to obtain numerical solutions
  • acquire high level numerical tools and knowledge that can be used to solve a range of problems in science and engineering
  • gain the ability to pursue further studies in this and related areas

Coordinator

Steven Carnie.

Requisites & Pre-requisites

It is recommended that students have completed a third year subject in partial differential equations (equivalent to 620-331 [2008] Applied Partial Differential Equations).

Students will also be expected to possess a basic level of proficiency in computer programming, such as gained from any introductory programming subject.

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