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About MSC Dissertation
This project involves implementing and testing a new algorithm for solving semidefinite optimization problems. Semidefinite optimization has applications in areas like control theory, circuit design, and principal component analysis. The project will focus on using the algorithm to solve the nearest correlation matrix problem from finance. The objectives are to study the theoretical background, understand formulations of the nearest correlation matrix problem suitable for a semidefinite approach, implement the algorithm in Matlab, and test it on instances of the nearest correlation matrix problem. Fluency in Matlab and a strong understanding of linear algebra, optimization, and data science are required.
Detailed Information
| Author: | ['Bogdan Profir'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 108 |
| Language: | English |
| Format: | |
| Price: | FREE |
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