CM 352 Computational Methods for Differential Equations

Course Description

Modelling of systems which lead to differential equations (examples include vibrations, population dynamics, and mixing processes). Scalar first order differential equations, second-order differential equations, systems of differential equations. Stability and qualitative analysis. Implicit and explicit time-stepping. Comparison of different methods. Stiffness. Linearization and the role of the Jacobian.

Cross-listed with AMATH 342

  • Fall
  • Spring

Pre-requisites

AMATH 341/CM 271/CS 371, MATH 237 or MATH 247; Level at least 3A; Not open to General Mathematics students

Leads on to

AMATH 442, CM 452

Upcoming Term Enrollment

There are no offerings of this course in the upcoming terms.