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Home > Academics > Undergraduate > Computer Science >
Computer Science
Course Description

CS 127
Linear Optimization
Spring

Introduction to linear optimization, optimizing a linear function subject to a set of linear constraints, emphasizing quantitative modeling, methodology, and the underlying mathematical structures and geometrical ideas. Topics include problem formulation, simplex method, sensitivity analysis, and duality theory.
Offered every other year beginning 2019-20.

Course Credit:
4

Instructor(s):
Susan Wang

Prerequisite:
MATH 004 or MATH 047 or ECON 081

Note(s):
Concurrent workshop required. Prerequisite of MATH 004 or MATH 047 or ECON 081 may be waived by instructor.

Meets the following Core Curriculum (or Gen Ed requirement(s)):
Meets the following Gen Ed requirement(s): Quan. & Comp. Reasoning,

Program Information
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Courses
Computer Sciences Course List

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P: 510.430.2226
F: 510.430.3314
E: cs@mills.edu

Last Updated: 6/23/17