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MATH 575 - Optimization Techniques II (3).
Description: A continuation of MATH 375. Areas of study include mathematical modeling, integer programming, combinatorial optimization, and network algorithms. Notes: Offered variable times. Prerequisites: MATH 375.
3.000 Credit hours
0.000 Lecture hours
0.000 Lab hours
3.000 Other hours

Levels: Graduate, Undergraduate
Schedule Types: Independent Study/Research, Lecture/Lab-Clinical

Mathematics Department

Course Attributes:
Logic Language and Semiotics

Prerequisites:
Prerequisite for MATH 575

General Requirements:
Course or Test: MATH 375
Minimum Grade of D-
May not be taken concurrently.

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Release: 8.7.2.4