Linear Algebra and Matrix Theory

Gilbert Jimmie

ISBN 10: 0122829700 / ISBN 13: 9780122829703

Editore: Elsevier, 1995

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pp. 394.

Codice articolo 7427670

Dati bibliografici

• Titolo: Linear Algebra and Matrix Theory
• Editore: Elsevier
• Data di pubblicazione: 1995
• Lingua: Inglese
• ISBN 10: 0122829700
• ISBN 13: 9780122829703
• Rilegatura: Brossura
• Condizione: New

Descrizione articolo

Riassunto

Intended for a serious first course or a second course, this textbook will carry students beyond eigenvalues and eigenvectors to the classification of bilinear forms, to normal matrices, to spectral decompositions, and to the Jordan form. The authors approach their subject in a comprehensive and accessible manner, presenting notation and terminology clearly and concisely, and providing smooth transitions between topics. The examples and exercises are well designed and will aid diligent students in understanding both computational and theoretical aspects. In all, the straightest, smoothest path to the heart of linear algebra.

* Special Features:
* Provides complete coverage of central material.
* Presents clear and direct explanations.
* Includes classroom tested material.
* Bridges the gap from lower division to upper division work.
* Allows instructors alternatives for introductory or second-level courses.

Dalla quarta di copertina

Intended for a serious first course or a second course, this textbook will carry students beyond eigenvalues and eigenvectors to the classification of bilinear forms, to normal matrices, to spectral decompositions, and to the Jordan form. The authors approach their subject in a comprehensive and accessible manner, presenting notation and terminology clearly and concisely, and providing smooth transitions between topics. The examples and exercises are well designed and will aid students in understanding both computational and theoretical aspects.

This book presents the straightest, smoothest path to the heart of linear algebra. It is the ideal text for undergraduate math majors who have some background in linear algebra and would benefit from a strong foundation for more abstract treatments at a higher level.