Mar 28, 2024  
Rensselaer Catalog 2018-2019 
    
Rensselaer Catalog 2018-2019 [Archived Catalog]

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MATP 6610 - 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. A computer implementation and a research presentation will be required. Students cannot obtain credit for both this course and MATP 4820.

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

When Offered: Spring term annually.



Credit Hours: 4



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