Iterative Methods and Preconditioners for Systems of Linear Equations
Seiten
2022
Society for Industrial & Applied Mathematics,U.S. (Verlag)
978-1-61197-689-2 (ISBN)
Society for Industrial & Applied Mathematics,U.S. (Verlag)
978-1-61197-689-2 (ISBN)
Iterative methods use successive approximations to obtain more accurate solutions. This volume presents historical background, derives complete convergence estimates for all methods, illustrates and provides Matlab codes for all methods, and studies and tests all preconditioners first as stationary iterative solvers.
Iterative methods use successive approximations to obtain more accurate solutions. Iterative Methods and Preconditioners for Systems of Linear Equations
presents historical background,
derives complete convergence estimates for all methods,
illustrates and provides Matlab codes for all methods, and
studies and tests all preconditioners first as stationary iterative solvers.
This textbook is appropriate for undergraduate and graduate students in need of an overview or of deeper knowledge about iterative methods. It can be used in courses on Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory. Scientists and engineers interested in new topics and applications will also find the text useful.
Iterative methods use successive approximations to obtain more accurate solutions. Iterative Methods and Preconditioners for Systems of Linear Equations
presents historical background,
derives complete convergence estimates for all methods,
illustrates and provides Matlab codes for all methods, and
studies and tests all preconditioners first as stationary iterative solvers.
This textbook is appropriate for undergraduate and graduate students in need of an overview or of deeper knowledge about iterative methods. It can be used in courses on Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory. Scientists and engineers interested in new topics and applications will also find the text useful.
| Erscheinungsdatum | 31.01.2022 |
|---|---|
| Reihe/Serie | Fundamentals of Algorithms |
| Verlagsort | New York |
| Sprache | englisch |
| Gewicht | 583 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Analysis |
| Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
| ISBN-10 | 1-61197-689-8 / 1611976898 |
| ISBN-13 | 978-1-61197-689-2 / 9781611976892 |
| Zustand | Neuware |
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