Iterative Methods via Locally Evolving Set Process Baojian Zhou 1,2 Yifan Sun
–Neural Information Processing Systems
By noticing that APPR is a local variant of Gauss-Seidel, this paper explores the question of whether standard iterative solvers can be effectively localized . We propose to use the locally evolving set process, a novel framework to characterize the algorithm locality, and demonstrate that many standard solvers can be effectively localized.
Neural Information Processing Systems
Sep-29-2025, 08:56:42 GMT
- Country:
- Asia > China (0.14)
- North America > United States (0.45)
- Genre:
- Research Report
- Experimental Study (0.92)
- New Finding (0.67)
- Research Report
- Technology: