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Class number:
3289
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Title: Mathematical Optimization |
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Department: Mathematics |
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Career: Undergraduate |
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Component: Seminar |
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Session: Regular |
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Instructor's Permission Required: Yes |
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Grading Basis: Regular |
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Units: 1.00 |
| Enrollment limited to 19 |
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Current enrollment: 7 |
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Available seats: 12 |
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Start date: Tuesday, September 5, 2023 |
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End date: Thursday, December 21, 2023 |
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Mode of Instruction: In Person |
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Schedule: MW: 1:30PM-2:45PM, MECC - 293 |
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Instructor(s): Ma, Lina |
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Prerequisite(s): Prerequisite: C- or better in Mathematics 228 or 229, at least one 300 level Mathematics course, Senior status. |
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Distribution Requirement: Meets Numerical & Symbolic Reasoning Requirement |
Course Description:
This course will cover topics on optimization and study corresponding algorithms. Methods such as Newton's, conjugate gradient and quasi-Newton will be included, and application to various optimization problems will be discussed. The course will extend to optimization for machine learning and carry out some simple exercises. Students are expected to understand the mathematical theorem for optimization and learn to apply the method using existing packages or creating their own codes. |