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LINEAR OPTIMIZATION

COMPSCI/ISYE/MATH/STAT 525
Course Description

Introduces optimization problems whose constraints are expressed by linear inequalities. Develops geometric and algebraic insights into the structure of the problem, with an emphasis on formal proofs. Presents the theory behind the simplex method, the main algorithm used to solve linear optimization problems. Explores duality theory and theorems of the alternatives.

Prerequisites

MATH 320 , MATH 340 , MATH 341 , MATH 375 , or MATH 443 or graduate/professional standing or member of the Pre-Masters Mathematics (Visiting International) Program

Satisfies
Credits

Not Reported

Offered

Not Reported

Grade Point Average
3.02

3.87% from Historical

Completion Rate
94.59%

5.16% from Historical

A Rate
28.38%

-3.95% from Historical

Class Size
74

30.52% from Historical

Cumulative Grade Distribution

Instructors (2026 Summr)

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