Advanced Linear Algebra

‘Mastering the intricacies of linear algebra has never been easier. This textbook offers a clear, engaging approach that demystifies complex concepts while providing some contemporary applications in quantum mechanics, machine learning, and data science. A valuable resource for both students and professionals eager to deepen their understanding of this foundational discipline!’ Jichun Li, University of Nevada, Las Vegas‘Yang’s book is a wonderful introduction to linear algebra. It is simultaneously precise and casual and covers both introductory and advanced material. This second edition includes fantastic excursions into areas of mathematics and physics where linear algebra plays a central role, such as quantum information theory and machine learning, providing the reader a unique opportunity to see the material they just learned put to good use. I highly recommend this text.’ Isaac M. Goldbring, University of California, Irvine

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).