Gradient-based maximal convergence rate iterative method for solving linear matrix equations.
Bin ZhouJames LamGuang-Ren DuanPublished in: Int. J. Comput. Math. (2010)
Keyphrases
- convergence rate
- set of linear equations
- gauss seidel method
- step size
- linear equations
- learning rate
- convergence speed
- algebraic equations
- square root
- matrix inversion
- linear systems
- simplex method
- global convergence
- nonlinear equations
- mutation operator
- gradient method
- small number of iterations
- weight vector
- primal dual
- numerical stability
- singular value decomposition
- gauss seidel
- wavelet neural network
- cost function
- genetic algorithm
- quadratic programming
- kernel methods
- sufficient conditions
- faster convergence rate
- variable step size
- feature space