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Revised and updated, the third edition of Golub and Van Loan's classic text in computer science provides essential information about the mathematical background and algorithmic skills required for the production of numerical software. This new edition includes thoroughly revised chapters on matrix multiplication problems and parallel matrix computations, expanded treatment of CS decomposition, an updated overview of floating point arithmetic, a more accurate rendition of the modified Gram-Schmidt process, and new material devoted to GMRES, QMR, and other methods designed to handle the sparse unsymmetric linear system problem.

Numerical analysis --- Matrices --- Data processing --- Informatique --- Mathématique --- mathematics --- Application des ordinateurs --- computer applications --- computerwiskunde --- numerieke analyse --- matrices --- #TELE:SISTA --- #TELE:MI2 --- 512.64 --- 519.6 --- 681.3*G13 --- AA / International- internationaal --- 305.971 --- -512.9434 --- 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 --- Speciale gevallen in econometrische modelbouw. --- Data processing. --- 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 --- 512.9434 --- Speciale gevallen in econometrische modelbouw --- Matrices - Data processing --- Algèbre --- Algebre lineaire --- Calcul matriciel --- Methodes numeriques