
This textbook provides a modern introduction to linear algebra, a mathematical discipline every first year undergraduate student in physics and engineering must learn. A rigorous introduction into the mathematics is combined with many examples, solved problems, and exercises as well as scientific applications of linear algebra. These include applications to contemporary topics such as internet search, artificial intelligence, neural networks, and quantum computing, as well as a number of more advanced topics, such as Jordan normal form, singular value decomposition, and tensors, which will make it a useful reference for a more experienced practitioner. Structured into 27 chapters, it is designed as a basis for a lecture course and combines a rigorous mathematical development of the subject with a range of concisely presented scientific applications. The main text contains many examples and solved problems to help the reader develop a working knowledge of the subject and every chapter comes with exercises.
This textbook addresses the fundamental requirement for physics and engineering undergraduates to master linear algebra as a primary tool for scientific computation and theoretical modeling. Andre Lukas, a professor with extensive experience in mathematical physics, constructs a framework that bridges abstract algebraic theory with practical applications in modern technology, utilizing a structured pedagogical approach designed for lecture-based learning.
What You Will Find
Scope Limits
Experts identify this work as a well-structured resource that successfully balances rigorous mathematical proofs with contemporary scientific utility. Students and instructors frequently note that the inclusion of modern topics like neural networks makes the text particularly relevant for current research trajectories.
Page Count:
512
Publication Date:
2022-01-01
Publisher:
OUP Oxford
ISBN-10:
0192583476
ISBN-13:
9780192583475
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