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Item #:
63714159
Applied Linear Algebra and Matrix Analysis Undergraduate Texts in Mathematics Second Edition 2018
Item #:
63714159
AED 290
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This textbook offers a fresh approach to matrix and linear algebra, emphasizing linear algebra as an experimental science that provides tools for solving concrete problems.
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What Stands Out
Comprehensive Coverage
This textbook offers extensive coverage of linear algebra concepts, providing a solid foundation tailored for undergraduate students, enhancing their understanding of both theory and applications.
Practical Applications
Focusing on real-world applications, the book bridges theory with practical usage, empowering students with skills they can apply in various fields such as engineering and data science.
Accessible Learning
Designed for clarity, this text employs intuitive explanations and step-by-step examples, making complex topics more approachable and ensuring students find success in understanding linear algebra.
Product Details
| Publisher | Springer |
| Publication date | January 12, 2019 |
| Edition | Second Edition 2018 |
| Language | English |
| Print length | 491 pages |
| ISBN-10 | 3030090671 |
| ISBN-13 | 978-3030090678 |
| Item Weight | 2.1 pounds (950 grams) |
| Dimensions | 6.1 x 1.11 x 9.25 inches (15.5 x 2.8 x 23.5 cm) |
Who Should Buy?
-
Undergraduate Students
Ideal for students studying applied linear algebra in their undergraduate mathematics courses for comprehensive understanding and applications.
-
Mathematics Instructors
Useful for educators seeking a structured textbook to guide their students in mastering linear algebra concepts effectively.
-
Engineering Majors
Perfect for engineering students needing practical applications of linear algebra and matrix analysis in their fields of study.
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Advanced Researchers
Not suitable for researchers requiring deeper theoretical insights beyond undergraduate level material in linear algebra.
Product Description
Applied Linear Algebra and Matrix Analysis Undergraduate Texts in Mathematics Second Edition 2018
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Customer Questions & Answers
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Question:
Is this textbook suitable for undergraduate students?
Answer: Yes, it is intended for a one-semester undergraduate course. -
Question:
Does this book include practical applications of linear algebra?
Answer: Absolutely, it discusses real-world applications like network modeling and digital signal processing. -
Question:
Are there optional sections for specialized interests?
Answer: Yes, the textbook offers a wide choice of optional sections for instructors to customize the curriculum. -
Question:
Does this book cover advanced topics in linear algebra?
Answer: No, this book is designed for undergraduate students and focuses on fundamental concepts. -
Question:
Are there any solutions available for the exercises in this book?
Answer: Unfortunately, there are no solutions provided in the book. However, you can find many online resources and study guides that offer solutions to the exercises. -
Question:
Is this book suitable for self-study?
Answer: Yes, the book is written in a concise and accessible manner, making it suitable for self-study.
Linear Editorial Review
This book is a comprehensive guide to applied linear algebra and matrix analysis. It is specifically designed for undergraduate students of mathematics. The book covers a wide range of topics, including vector spaces, linear transformations, eigenvalues and eigenvectors, and matrix factorizations. The author provides clear explanations and numerous examples to help students understand the concepts. The book is written in a concise and accessible manner, making it suitable for self-study. Overall, it is a highly recommended resource for students studying linear algebra and matrix analysis.
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Pros
- Comprehensive coverage of applied linear algebra and matrix analysis
- Clear explanations and numerous examples
- Suitable for self-study
Cons
- May not be suitable for advanced or specialized topics
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AED 290
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Features & Benefits
- Fresh approach to matrix and linear algebra in the second edition.
- Integrates theory with computational exercises and analytical writing projects.
- Focuses on practical applications like graph theory and Google’s PageRank.
- Includes new topics such as linear programming, image processing, and Fourier analysis.
- Suitable for a one-semester course without a calculus prerequisite.
- Flexible curriculum tailored to student interests across various disciplines.
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