Block Factor-Width-Two Matrices and Their Applications to Semidefinite and Sum-of-Squares Optimization.
Yang ZhengAivar SootlaAntonis PapachristodoulouPublished in: IEEE Trans. Autom. Control. (2023)
Keyphrases
- semidefinite
- positive semidefinite
- linear complementarity problem
- semidefinite programming
- convex relaxation
- higher dimensional
- sufficient conditions
- interior point methods
- convex optimization
- optimization problems
- convex sets
- finite dimensional
- kernel matrix
- matrix factorization
- optimization algorithm
- linear programming
- machine learning