On the Convergence of Randomized and Greedy Relaxation Schemes for Solving Nonsingular Linear Systems of Equations.
Andreas FrommerDaniel B. SzyldPublished in: CoRR (2022)
Keyphrases
- linear systems
- sparse linear systems
- linear equations
- gauss seidel method
- iterative algorithms
- sufficient conditions
- dynamical systems
- numerical solution
- preconditioned conjugate gradient method
- greedy algorithm
- coefficient matrix
- variational inequalities
- feature selection
- convergence rate
- nonlinear equations
- control method
- objective function
- reinforcement learning