This book describes, in a basic way, the most useful and effective iterative solvers and appropriate preconditioning techniques for some of the most important classes of large and sparse linear systems.
The solution of large and sparse linear systems is the most time-consuming part for most of the scientific computing simulations. Indeed, mathematical models become more and more accurate by including a greater volume of data, but this requires the solution of larger and harder algebraic systems. In recent years, research has focused on the efficient solution of large sparse and/or structured systems generated by the discretization of numerical models by using iterative solvers.
Concise abd well written, but I must admit that the last 40% was well over my head (at the moment). I'll be back.
I'm dinging one star because the graphs are illegibly small. You may need a magnifying glass to be able to tell the curves with points that are squares, circles and diamonds apart. A Zoomable pdf might help in this case (if such exists), but I read a paper version.