A Strengthened SDP Relaxation for Quadratic Optimization Over the Stiefel Manifold.
Samuel BurerKyungchan ParkPublished in: J. Optim. Theory Appl. (2024)
Keyphrases
- quadratic optimization
- interior point methods
- semidefinite
- euclidean space
- semidefinite programming
- semi definite programming
- convex optimization
- linear programming
- convex relaxation
- low dimensional
- primal dual
- linear program
- shape analysis
- kernel matrix
- quadratic programming
- vector space
- euclidean distance
- data points
- data sets
- support vector machine
- convergence rate
- high dimensional
- support vector
- reinforcement learning