Conjugate gradient least squares algorithm for solving the generalized coupled Sylvester-conjugate matrix equations.
Jing-Jing HuChangfeng MaPublished in: Appl. Math. Comput. (2018)
Keyphrases
- least squares
- levenberg marquardt
- conjugate gradient
- convergence rate
- optimization algorithm
- objective function
- learning algorithm
- em algorithm
- simulated annealing
- expectation maximization
- probabilistic model
- k means
- search space
- training algorithm
- support vector machine
- optimization method
- singular value decomposition
- maximum likelihood estimation
- computer vision
- faster convergence
- neural network
- line search