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Description
Continuous Optimization Problems and methods in non-linear optimization. Classical optimization in R^{n}: inequality constraints, Lagrangian, duality, convexity. Non-linear programming. Search methods for unconstrained optimization. Gradient methods for unconstrained optimization. Constrained optimization. Dynamic programming. Lectures, 3 hours per week; lab/tutorial, 1 hour per week. Prerequisite(s): MATH 2P03 or permission of the instructor. Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Prerequisites
- Prerequisite(s): MATH 2P03 or permission of the instructor.
Conditions and arrangements
- Prerequisite(s): MATH 2P03 or permission of the instructor.
- Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Reference text in its original language
Continuous Optimization Problems and methods in non-linear optimization. Classical optimization in R^{n}: inequality constraints, Lagrangian, duality, convexity. Non-linear programming. Search methods for unconstrained optimization. Gradient methods for unconstrained optimization. Constrained optimization. Dynamic programming. Lectures, 3 hours per week; lab/tutorial, 1 hour per week. Prerequisite(s): MATH 2P03 or permission of the instructor. Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
- Prerequisite(s): MATH 2P03 or permission of the instructor.
- Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Sources and references
Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.
Source reference : https://brocku.ca/webcal/2024/undergrad/math.html