Jul 06, 2025  
Rensselaer Catalog 2025-2026 
    
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Rensselaer Catalog 2025-2026
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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.

Prerequisite: MATH 2010  or ENGR 1100 ; and CSCI 1100 ; or permission of instructor.

When Offered: SPRING TERM ANNUALLY

Co-Listed: MATP 4820 ; Students cannot obtain credit for both this course and MATP 4820 .

Graded: GRADED

Credit Hours: 4


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