Introduction to Numerical Linear Algebra [Paperback] Christoph B?rgers. Questo articolo non è disponibile.
Lingua: inglese
Editore: SIAM - Society for Industrial and Applied Mathematics, 2022
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Codice articolo EC-N48L-IWMV
- Titolo
- Introduction to Numerical Linear Algebra [Paperback] Christoph B?rgers
- Autore
- Christoph Börgers
- Editore
- SIAM - Society for Industrial and Applied Mathematics
- Anno di pubblicazione
- 2022
- Condizione
- Very Good
- Rilegatura
- Soft cover
- Lingua
- inglese
- ISBN 10
- 161197691X
- ISBN 13
- 9781611976915
Fit for students just starting to build a background in mathematics, this textbook provides an introduction to numerical methods for linear algebra problems.
Introduction to Numerical Linear Algebra
This textbook is appropriate for undergraduate and beginning graduate students in mathematics and related fields. It can be used in the following courses: Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory
Introduction to Numerical Linear Algebra
- is ideal for a flipped classroom, as it provides detailed explanations that allow students to read on their own and instructors to go beyond lecturing,
- assumes that the reader has taken a course on linear algebra, but reviews background as needed, and
- covers several topics not commonly addressed in related introductory books, including diffusion, a toy model of computed tomography, global positioning systems, the use of eigenvalues in analyzing stability of equilibria, a detailed derivation and careful motivation of the QR method for eigenvalues starting from power iteration, a discussion of the use of the SVD for assigning grades, and multigrid methods.
This textbook is appropriate for undergraduate and beginning graduate students in mathematics and related fields. It can be used in the following courses: Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory
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