Matrix Mathematics A Second Course in Linear Algebra
- Textbook
Description
Using a modern matrix-based approach, this rigorous second course in linear algebra helps upper-level undergraduates in mathematics, data science, and the physical sciences transition from basic theory to advanced topics and applications. Its clarity of exposition together with many illustrations, 900+ exercises, and 350 conceptual and numerical examples aid the student's understanding. Concise chapters promote a focused progression through essential ideas. Topics are derived and discussed in detail, including the singular value decomposition, Jordan canonical form, spectral theorem, QR factorization,…
New in this edition
*Every chapter has been edited to reflect classroom experience
*300+ new problems and many more conceptual and numerical examples.
*Features new material on matrix norms, positive/nonnegative matrices, polynomial interpolation, Gaussian quadrature, orthogonal polynomials, and the Google matrix.
*More than 90 color-enhanced figures illustrate the geometric foundations of linear algebra.
*A comprehensive index, now with 2,000+ entries, enhances the value of the book for reference.
*Complete solutions to all problems are available in an Instructor’s Solution Manual.
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Key features
- Emphasizes matrix factorizations such as unitary triangularization, QR factorizations, spectral theorem, and singular value decomposition
- Covers all relevant linear algebra material that students need to move on to advanced work in data science, such as convex optimization
- Supplies 900 end-of-chapter problems, 350 conceptual and numerical examples, and many color illustrations to aid student understanding of concepts and help develop communication skills
- Contains clear exposition and concise chapters that promote focused progression through essential ideas
About the book
- DOI https://doi.org/10.1017/9781108938426
- Series Cambridge Mathematical Textbooks
- Subjects Algebra,Mathematics,Mathematics (general)
- Editions 2nd Edition (Current edition)
- Format: Hardback
- Publication date: 25 May 2023
- ISBN: 9781108837101
- Dimensions (mm): 254 x 178 mm
- Weight: 1.12kg
- Page extent: 500 pages
- Availability: Available
- Format: Digital
- Publication date: 29 September 2023
- ISBN: 9781108938426
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