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 .
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2023 |
Computational Optimization (4c)
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2022 |
Computational Optimization (4c)
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2021 |
Computational Optimization (4c)
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2020 |
Computational Optimization (4c)
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2019 |
Computational Optimization (4c)
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2018 |
Computational Optimization (4c)
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2017 |
Computational Optimization (4c)
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2016 |
Computational Optimization (4c)
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2015 |
Computational Optimization (4c)
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2014 |
Computational Optimization (4c)
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2013 |
Computational Optimization (4c)
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2012 |
Computational Optimization (4c)
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2011 |
Computational Optimization (4c)
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2010 |
Computational Optimization (4c)
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2009 |
Computational Optimization (4c)
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2008 |
Computational Optimization (4c)
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2007 |
Computational Optimization (4c)
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2006 |
Computational Optimization (4c)
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2005 |
Computational Optimization (4c)
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2004 |
Computational Optimization (4c)
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2003 | ||||
2002 | ||||
2001 | ||||
2000 | ||||
1999 | ||||
1998 |