On global convergence of alternating least squares for tensor approximation.
Yuning YangPublished in: Comput. Optim. Appl. (2023)
Keyphrases
- global convergence
- alternating least squares
- low rank approximation
- negative matrix factorization
- global optimum
- optimization methods
- nonnegative matrix factorization
- convergence rate
- convergence speed
- stochastic gradient descent
- optimization method
- step size
- singular value decomposition
- approximation algorithms
- subspace learning
- matrix factorization
- high order
- objective function
- low rank
- neural network
- particle swarm
- simulated annealing
- differential evolution
- genetic algorithm ga
- image restoration
- least squares
- search space