An accelerated augmented Lagrangian algorithm with adaptive orthogonalization strategy for bound and equality constrained quadratic programming and its application to large-scale contact problems of elasticity.
Zdenek DostálOldrich VlachPublished in: J. Comput. Appl. Math. (2021)
Keyphrases
- quadratic programming
- augmented lagrangian
- dynamic programming
- linear programming
- worst case
- np hard
- learning algorithm
- lagrange multipliers
- convex hull
- cost function
- objective function
- similarity measure
- special case
- particle swarm optimization
- expectation maximization
- optimization algorithm
- closed form
- lower bound
- prior information
- variable selection
- random sampling
- neural network