This math elective course aims to introduce you to the basic nonlinear optimization models, and the theory and analysis of the algorithms commonly used to solve these models. With the knowledge and skills acquired from analysing standard algorithms for basic nonlinear optimization models, you will be able to extend your understanding and appreciation to other solution algorithms for more general nonlinear optimization models that you will encounter in your professional work, in areas such as statistics, finance, artificial intelligence, logistics, healthcare, etc.
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