MATH325
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Introduction to Optimization
Mathematics and Statistics
SC - Faculty of Science
Subject
MATH - Mathematics
Description
An example driven overview of optimization problems: quadratic forms, minimum energy and distance, least squares, generalized inverses, location and classification of critical points, variational treatment of eigenvalues, Lagrange multipliers and linear programming.
Prerequisite(s): Mathematics 311 or 313; and Mathematics 367.
Also known as: (formerly Applied Mathematics 425)
Prerequisite(s): Mathematics 311 or 313; and Mathematics 367.
Also known as: (formerly Applied Mathematics 425)
Course Attributes
Fee Rate Group(Domestic) - A, Fee Rate Group(International) -A, GFC Hours (3-1T)
Courses may consist of a Lecture, Lab, Tutorial, and/or Seminar. Students will be required to register in each component that is required for the course as indicated in the schedule of classes. Practicums, internships or other experiential learning modalities are typically indicated as a Lab component.
Component
LEC
Component
TUT
Units
3
Repeat for Credit
No
Subject code
MATH
Understanding Course Information
Please refer to Course Terminology and Description to better understand how to interpret course information such as GFC Hours, pre-requisites, course levels, etc.