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With in-depth discussions of such other topics as modern componentwise error analysis, reorthogonalization, and rank-one updates of the QR decomposition, Fundamentals of Matrix Computations, Second Edition will prove to be a versatile companion to novice and practicing mathematicians who seek mastery of matrix computation.

Algebra --- Mathematical statistics --- Matrices --- #KVIV:BB --- 512.64 --- 519.6 --- 681.3*G13 --- 512 --- 519.2 --- Algebra, Matrix --- Cracovians (Mathematics) --- Matrix algebra --- Matrixes (Algebra) --- Algebra, Abstract --- Algebra, Universal --- Linear and multilinear algebra. Matrix theory --- Computational mathematics. Numerical analysis. Computer programming --- Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- Wiskundige statistiek --- Matrices. --- Algoritmen --- Matrixrekening --- 681.3*G13 Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- 519.6 Computational mathematics. Numerical analysis. Computer programming --- 512.64 Linear and multilinear algebra. Matrix theory --- Algoritmen. --- Matrixrekening. --- Itération (mathématiques) --- Analyse numérique. --- Numerical analysis --- Iterative methods (Mathematics) --- Algèbre linéaire. --- Algebras, Linear --- Itération (mathématiques) --- Analyse numérique --- Numerical analysis. --- Algèbre linéaire --- Algebras, Linear. --- Calcul matriciel --- Methodes numeriques