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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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