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Preliminaries. Practicalities. The Direct Solution of Linear Systems. Norms, Limits, and Condition Numbers. The Linear Least Squares Problem. Eigenvalues and Eigenvectors. The QR Algorithm. The Greek Alphabet and Latin Notational Correspondents. Determinants. Rounding-Error Analysis of Solution of Triangular Systems and of Gaussian Elimination. Of Things Not Treated. Bibliography. Index.
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| $109.20 | Digital |
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Lucas Goes
reviewed Introduction To Matrix Computations on October 22, 2014 Introduction To Matrix Computations
A good book to learn
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Add Introduction To Matrix Computations, Numerical linear algebra is far too broad a subject to treat in a single introductory volume. Stewart has chosen to treat algorithms for solving linear systems, linear least squares problems, and eigenvalue problems involving matrices whose elements can a, Introduction To Matrix Computations to the inventory that you are selling on WonderClubX
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Add Introduction To Matrix Computations, Numerical linear algebra is far too broad a subject to treat in a single introductory volume. Stewart has chosen to treat algorithms for solving linear systems, linear least squares problems, and eigenvalue problems involving matrices whose elements can a, Introduction To Matrix Computations to your collection on WonderClub |
