This self-contained introduction to Numerical Linear Algebra provides a comprehensive, yet concise, overview of the subject.
Later chapters cover more advanced material, such as Krylov subspace methods, multigrid methods, domain decomposition methods, multipole expansions, hierarchical matrice.
It includes standard material such as direct methods for solving Linear systems and least-squares problems, error, stability and conditioning, basic iterative methods and the calculation of eigenvalues.
This self-contained introduction to Numerical Linear Algebra provides a comprehensive, yet concise, overview of the subject