Algebraic multigrid (AMG) methods have emerged as a crucial tool for efficiently solving large, sparse linear systems, particularly those arising in complex scientific and engineering simulations.

Journal of Computational Mathematics, Vol. 26, No. 2 (March 2008), pp. 227-239 (13 pages) We discuss semiconvergence of the extrapolated iterative methods for solving singular linear systems. We ...

SIAM Journal on Numerical Analysis, Vol. 53, No. 1 (2015), pp. 485-507 (23 pages) In this paper we consider implicit Runge–Kutta methods for the time integration of ...

An international team of mathematicians, led by Lehigh University statistician Taeho Kim, has introduced an innovative method ...