Multitask Kernel-Learning Parameter Prediction Method for Solving Time-Dependent Linear Systems

Matrix splitting iteration methods play a vital role in solving large sparse linear systems. Their performance heavily depends on the splitting parameters, however, the approach of selecting optimal splitting parameters has not been well developed. In this paper, we present a multitask kernel-learni... View More