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Item #:
63714159
Applied Linear Algebra and Matrix Analysis (Undergraduate Texts in Mathematics)
Item #:
63714159
PHP 5311
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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
- In its second edition, this textbook offers a fresh approach to matrix and linear algebra. Its blend of theory, computational exercises, and analytical writing projects is designed to highlight the interplay between these aspects of an application. This approach places special emphasis on linear algebra as an experimental science that provides tools for solving concrete problems.The second edition’s revised text discusses applications of linear algebra like graph theory and network modeling methods used in Google’s PageRank algorithm. Other new materials include modeling examples of diffusive processes, linear programming, image processing, digital signal processing, and Fourier analysis. These topics are woven into the core material of Gaussian elimination and other matrix operations; eigenvalues, eigenvectors, and discrete dynamical systems; and the geometrical aspects of vector spaces.Intended for a one-semester undergraduate course without a strict calculus prerequisite, Applied Linear Algebra and Matrix Analysis augments the key elements of linear algebra with a wide choice of optional sections. With the book’s selection of applications and platform-independent assignments, instructors can tailor the curriculum to suit specific interests and ensure students across various disciplines are equipped with the powerful tools of linear algebra.
| 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) |
| Country of Origin | This item will be imported from US |
| What is in the box | Applied Linear Algebra and... For more details, please check description/product details |
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.
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Engineering Majors
Perfect for engineering students needing practical applications of linear algebra and matrix analysis in their fields of study.
-
Advanced Researchers
Not suitable for researchers requiring deeper theoretical insights beyond undergraduate level material in linear algebra.
Product Description
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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
Product Price History
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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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