Scientific computing is making increasingly many key contributions to applied mathematical problems. Speed and reliability are vital in delivering a numerical solution. Traditional computing algorithms require constant improvement to meet the new challenges brought by our desire to simulate more large-scale and higher resolution problems. The ability to solve linear and non-linear systems in a fast and reliable way symbolizes the success of scientific computing research. This Special Issue presents various work on developing fast iterative and preconditioned methods.
It has been a miracle that this Special Issue can come out within such a relatively short period from the planning stage to publication. The selected papers are chosen on an invited basis attempting to cover most of the currently active research work in the general subject of iterative and preconditioning methods for linear and non-linear systems. I thank all contributors to this Special Issue for their hard work in first getting the papers completed in time and then revising the papers also in good time.
As with all quality journal papers, reviewers' kind help is essential and I am specially grateful to the many reviewers (colleagues and friends) who have generously contributed to the success of this Special Issue by returning prompt reviews.
Last and not the least, I thank the Editor-in-Chief Professor E.H. Twizell and the production editor for International Journal of Computer Mathematics for their support to this issue.
I hope you find all of the papers in this Special Issue useful to your work.