Low-Rank Solution to an Optimization Problem Constrained by the Navier-Stokes Equations.
Sergey DolgovMartin StollPublished in: SIAM J. Sci. Comput. (2017)
Keyphrases
- low rank
- norm minimization
- convex optimization
- matrix completion
- matrix factorization
- missing data
- nuclear norm
- low rank matrix
- optimization method
- linear combination
- rank minimization
- high order
- singular value decomposition
- quadratic programming
- convex relaxation
- robust principal component analysis
- semi supervised
- matrix decomposition
- kernel matrix
- trace norm
- optimal solution
- minimization problems
- linear programming
- least squares
- navier stokes equations