Numerical Methods and Their Applications to Linear Algebra
Seiten
2018
Arcler Education Inc (Verlag)
978-1-77361-557-8 (ISBN)
Arcler Education Inc (Verlag)
978-1-77361-557-8 (ISBN)
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Examines various dimensions of linear algebra related to numerical methods. The book includes new iterative methods for generalized singular-value problems and perturbation analysis of the stochastic algebraic Riccati equation.
Numerical Methods and their Applications to Linear Algebra takes into account various dimensions of linear algebra related to the numerical methods. It includes new iterative methods for generalized singular-value problems and perturbation analysis of the stochastic algebraic Riccati equation. Provide the reader with the insights into the development of various numerical methods adopted for linear algebra, so as to understand and gain practical knowledge of modern computational techniques for the numerical solution of linear algebra.
Numerical Methods and their Applications to Linear Algebra takes into account various dimensions of linear algebra related to the numerical methods. It includes new iterative methods for generalized singular-value problems and perturbation analysis of the stochastic algebraic Riccati equation. Provide the reader with the insights into the development of various numerical methods adopted for linear algebra, so as to understand and gain practical knowledge of modern computational techniques for the numerical solution of linear algebra.
Olga Moreira obtained her Ph.D. in Astrophysics from the University of Liege (Belgium) in 2010, her BSc. in Physics and Applied Mathematics from the University of Porto (Portugal). Her post-graduate travels and international collaborations with the European Space Agency (ESA) and European Southern Observatory (ESO) led to great personal and professional growth as a scientist. Currently, she is working as an independent researcher, technical writer, and editor in the fields of Mathematics, Physics, Astronomy and Astrophysics.
| Erscheinungsdatum | 02.02.2019 |
|---|---|
| Sprache | englisch |
| Maße | 154 x 231 mm |
| Gewicht | 809 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Algebra |
| ISBN-10 | 1-77361-557-2 / 1773615572 |
| ISBN-13 | 978-1-77361-557-8 / 9781773615578 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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