Offered here is an unintimidating introduction to the basic matrix computations of science and engineering. Topics include the solution of linear equations by Gaussian elimination and the related LU decomposition, the QR decomposition and the least squares problem, eigen-system computations, and the singular value decomposition. Algorithms are introduced early in the discussion of each major topic, which allows students to start programming right away.
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Illustrationen
Maße
Höhe: 250 mm
Breite: 200 mm
Gewicht
ISBN-13
978-0-471-54601-6 (9780471546016)
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Schweitzer Klassifikation
Gaussian Elimination and its Variants; Sensitivity of Linear Systems; Effects of Roundoff Errors; Orthogonal Matrices and the Least Squares Problem; Eigenvalues, Eigenvectors and Invariant Subspaces; Other Methods for the Symmetric Eigenvalue Problem; The Singular Value Decomposition; Appendices; Bibliography.
