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Semidefinite Programming

  • Research Focus

  • Industry Focus

Low-rank matrix optimization, semidefinite programming, Riemannian optimization

Tang Tianyun

Research Fellow
  • Low-rank matrix optimization, Riemannian optimization, Semidefinite Programming
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Matrix Optimization Problems: algorithms, applications, and theory. In particular, large scale semidefinite programming. Fast algorithms for large scale statistical and machine learning problems. Iterative methods for large linear systems of equations, especially those arising in optimization.

Toh Kim Chuan

Research Director (Technical)
Mathematics
  • Algorithms, Machine Learning, Matrix Optimization, Semidefinite Programming
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The Institute of Operations Research and Analytics (IORA) is a part of NUS’s Smart Nation Research Cluster.

Innovation 4.0, 3 Research Link, #04-01, Singapore 117602

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