Dec 03, 2024  
Rensselaer Catalog 2022-2023 
    
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Rensselaer Catalog 2022-2023 [Archived Catalog]

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MATP 4820 - Computational Optimization

An introduction to nonlinear programming. Models, methods, algorithms, and computer techniques for nonlinear optimization are studied. Students investigate contemporary optimization methods both by implementing these methods and through experimentation with commercial software. Nonmajors wishing to gain practical optimization skills are welcomed in this course. A course project will allow students to explore optimization methods and practical problems directly related to their interests.

Prerequisites/Corequisites: Prerequisites: MATH 2010  or ENGR 1100  and CSCI 1100  or permission of instructor.

When Offered: Spring term annually.



Cross Listed: Students cannot obtain credit for both this course and MATP 6610 .

Credit Hours: 4


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