Name: Introduction to Numerical Linear Algebra (en Inglés)
SKU: 67193104
Price: 126.05 USD
Availability: InStock
Author: Christoph Borgers
ISBN: 9781611976915

portada Introduction to Numerical Linear Algebra (en Inglés)

Introduction to Numerical Linear Algebra (en Inglés)

Formato

Libro Físico

Editorial

SIAM - Society for Industrial and Applied Mathematics

Autor

Christoph Borgers

Colección

Other Titles in Applied Mathematics

Año

2022

Idioma

Inglés

N° páginas

277

Encuadernación

Tapa Blanda

ISBN13

9781611976915

Introduction to Numerical Linear Algebra (en Inglés)

Christoph Borgers (Autor) · SIAM - Society for Industrial and Applied Mathematics · Tapa Blanda

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Reseña del libro "Introduction to Numerical Linear Algebra (en Inglés)"

Fit for students just starting to build a background in mathematics, this textbook provides an introduction to numerical methods for linear algebra problems. This text 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.

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 Algebrais 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, andcovers 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