On the convergence of randomized and greedy relaxation schemes for solving nonsingular linear systems of equations.
Andreas FrommerDaniel B. SzyldPublished in: Numer. Algorithms (2023)
Keyphrases
- linear systems
- sparse linear systems
- linear equations
- gauss seidel method
- iterative algorithms
- sufficient conditions
- dynamical systems
- dynamic programming
- coefficient matrix
- preconditioned conjugate gradient method
- search algorithm
- feature selection
- numerical solution
- greedy algorithm
- interior point methods
- solving problems
- approximation algorithms
- objective function
- machine learning