HIGHAM ACCURACY AND STABILITY OF NUMERICAL ALGORITHMS PDF
Rounding. 2. Precision. 3. Accuracy. 4. Higher Precision. 5. Tiny Relative Errors. University of Manchester. Nick Higham. Accuracy and Stability. Nick J Higham – School of Mathematics and Manchester Institute for Mathematical Sciences, The University of Manchester, UK. This book gives a thorough, up-to-date treatment of the behavior of numerical algorithms in finite precision arithmetic. It combines algorithmic derivations.
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Acquiring Software; Appendix C: Floating Point Arithmetic; Chapter 3: From reviews of the first edition: Matrix Powers; Chapter Twelve new sections include coverage of additional error bounds for Gaussian elimination, rank revealing LU factorizations, weighted and constrained least squares problems, and the fused multiply-add operation found on some modern computer architectures. This product hasn’t received accuacy reviews yet. Principles of Finite Precision Computation; Chapter 2: Product Reviews Write review.
Fast Matrix Multiplication; Chapter We promise to never spam you, algofithms just use your email address to identify you as a valid customer. In addition the thorough indexes and extensive, up-to-date bibliography are in a readily accessible form. Follow us on Facebook Twitter YouTube.
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Accuracy and Stability of Numerical Algorithms, Second Edition
Write your review here: But if not, he has more than earned his respite—and our gratitude. Account Options Sign in. It covers pages carefully collected, investigated, and written It combines algorithmic derivations, hgham theory, and rounding nad analysis, all enlivened by historical perspective and informative quotations. Second Edition Nicholas J. Stationary Iterative Methods; Chapter Accuracy and Stability of Numerical Algorithms: Numerical Methods for Conservation Laws: Two new chapters treat symmetric indefinite systems and skew-symmetric systems, and nonlinear systems and Newton’s method.
Accuracy and Stability of Numerical Algorithms – Nicholas J. Higham – Google Books
Two new chapters treat symmetric indefinite systems and skew-symmetric systems, and nonlinear algorjthms and Newton’s method. I hope the author will give us the odd hundred page sequel. The book’s detailed descriptions of floating point arithmetic and of software issues reflect the fact that IEEE arithmetic is now ubiquitous.
Underdetermined Systems; Chapter Watkins Limited preview – It combines algorithmic derivations, accuracj theory, and rounding error analysis, all enlivened by historical perspective and informative quotations. Solutions to Problems; Appendix B: Selected For Comparision Compare Now. My library Help Advanced Book Search.
Product Description by Nicholas J. An expanded treatment of Gaussian elimination incorporates rook pivoting, along with a thorough discussion of the choice of pivoting strategy and the effects of scaling. Cholesky Factorization; Chapter The coverage of the first edition has been expanded and updated, involving numerous improvements. With its thorough indexes and extensive, up-to-date bibliography, the book provides a mine of information acfuracy a readily accessible form.
This new edition is a suitable reference for an advanced course and can also be used at all levels as a supplementary text from which to draw examples, historical perspective, statements of results, and exercises.
Nick Higham – Accuracy and Stability of Numerical Algorithms
The coverage of the first Perturbation Theory for Linear Systems; Chapter 8: Vandermonde Systems; Chapter His book belongs on the shelf of anyone who has more than a casual interest in rounding error and matrix computations. One will find that this book is a very suitable hivham comprehensive reference for research in numerical linear algebra, software usage and development, and for numerical linear algebra courses.
lf Although not designed specifically as a textbook, this new edition is a suitable reference for an advanced course. It can also be used by instructors at all levels as a supplementary text from which to draw examples, historical perspective, statements of results, and exercises. How do you rate this product?
Condition Number Estimation; Chapter Iterative Refinement; Chapter The Least Squares Problem; Chapter Numwrical the first to review this product! Fundamentals of Matrix Computations David S.
This second edition expands and updates the coverage of the first edition and includes numerous improvements to the original material. Program Libraries; Appendix D: Higham No preview available –