2016/05/04 by De Loera, Jesus, Haddock, Jamie, Needell, Deanna · 5 citations
#FOS: Mathematics #Optimization and Control (math.OC)
paper · doi:10.48550/arxiv.1605.01418
We combine two iterative algorithms for solving large-scale systems of linear inequalities, the relaxation method of Agmon, Motzkin et al. and the randomized Kaczmarz method. In doing so, we obtain a family of algorithms that generalize and extend both techniques. We prove several convergence results, and our computational experiments show our algorithms often outperform the original methods.