NIPM-HLSP: An Efficient Interior-Point Method for Hierarchical Least-Squares Programs.
Kai PfeifferAdrien EscandeLudovic RighettiPublished in: CoRR (2021)
Keyphrases
- least squares
- interior point methods
- convex optimization
- primal dual
- linear programming
- linear program
- semidefinite programming
- inequality constraints
- quadratic programming
- interior point algorithm
- computer vision
- ls svm
- linear programming problems
- solving problems
- parameter estimation
- state space
- special case
- coefficient matrix
- multiscale