| Review: |
As in the first edition, this updated and improved edition of the book is aimed at students studying for a first course in numerical linear algebra in mathematics, computer science and engineering. It has chapters on: Linear algebra problems; Some required concepts from core linear algebra; Floating point numbers and some errors in computations; Stability of algorithms and conditioning of problems; Gaussian elimination and LU factorization; Numerical solutions of linear systems; QR factorization, singular value decomposition and projections; Least-squares solutions to linear systems; Numerical matrix eigenvalues problems; Numerical symmetric eigenvalues problem and singular value decomposition; and Iterative methods for large and sparse problems. |