Dec 14, 2024  
2015-2016 Undergraduate Catalog 
    
2015-2016 Undergraduate Catalog [ARCHIVED CATALOG]

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MATH 482 - Nonlinear Optimization

(3.00)
Introduction to convex analysis. One-dimensional minimization. Unconstrained optimization in algorithms, global convergence and rates of convergence. Quasi-Newton techniques. Convex programming: optimality conditions and duality. Penalty and Barrier methods.

Course ID: 55270
Consent: No Special Consent Required
Components: Lecture
Requirement Group: You must have completed MATH 251  and MATH 301  with a grade of ‘C’ or better before you can enroll in this course. MATH 301  can be taken concurrently.



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