2020-2021 Graduate Catalogue Archived Catalogue
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MAT 535 - Linear Programming and Network Flows
Course Description: Methods and applications of optimizing a linear function subject to linear constraints. Theory of the simplex method and duality; parametric linear programs; sensitivity analysis; modeling and computer implementation.
Credit Hours: 3
Corequisite Courses: None
Prerequisite Courses: None
Additional Restrictions/ Requirements: Undergraduate linear algebra and computing experience.
Course Repeatability Course may not be repeated Maximum Repeatable Hours: 3
ADDITIONAL COURSE INFORMATION
Equivalent Courses: None
Undergraduate Crosslisting: None
Additional Course Fees: None
Course Attribute: None
Click here for the Fall 2024 Class Schedule.
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