Advanced Linear Algebra (Paperback)

Yisong Yang

ISBN 10: 1009589849 / ISBN 13: 9781009589840

Published by Cambridge University Press, Cambridge, 2025

About this Item

Paperback. The second edition of this engaging textbook for advanced undergraduate students and beginning graduates covers all the core subjects in linear algebra. It has a unique emphasis on integrating ideas from analysis, in addition to pure algebra, and features a balance of abstraction, practicality, and contemporary applications. Four chapters examine some of the most important of these applications, including quantum mechanics, machine learning, data science, and quantum information. The material is supplemented by a rich collection of exercises designed for students from diverse backgrounds, including a wealth of newly added ones in this edition. Selected solutions are provided at the back of the book for use in self-study, and full solutions are available online to instructors. An engaging textbook for advanced undergraduates and beginning graduates covering the core subjects in linear algebra, with a unique emphasis on ideas from analysis. This edition includes over 200 new exercises and in-depth coverage of contemporary applications, including quantum mechanics, machine learning, data science, and quantum information. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9781009589840

Bibliographic Details

• Title: Advanced Linear Algebra (Paperback)
• Publisher: Cambridge University Press, Cambridge
• Publication Date: 2025
• Language: English
• ISBN 10: 1009589849
• ISBN 13: 9781009589840
• Binding: Paperback
• Edition: 2nd Edition
• Condition: new

About this title

Synopsis

The second edition of this engaging textbook for advanced undergraduate students and beginning graduates covers all the core subjects in linear algebra. It has a unique emphasis on integrating ideas from analysis, in addition to pure algebra, and features a balance of abstraction, practicality, and contemporary applications. Four chapters examine some of the most important of these applications, including quantum mechanics, machine learning, data science, and quantum information. The material is supplemented by a rich collection of exercises designed for students from diverse backgrounds, including a wealth of newly added ones in this edition. Selected solutions are provided at the back of the book for use in self-study, and full solutions are available online to instructors.

About the Author

Yisong Yang is Professor at the Courant Institute of Mathematical Sciences, New York University. He is a Fellow of the American Mathematical Society and the author of 'Solitons in Field Theory and Nonlinear Analysis' (2001) and 'Mathematical Physics with Differential Equations' (2023).