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Principles of Linear Algebra with Mathematica (Pure and Applied Mathematics: A Wiley Series of Texts, Monographs and Tracts)
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MYR 925
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Principles of Linear Algebra with Mathematica uniquely bridges the gap between beginning linear algebra and computational linear algebra that is often encountered in applied settings
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- A hands-on introduction to the theoretical and computational aspects of linear algebra using Mathematica®Many topics in linear algebra are simple, yet computationally intensive, and computer algebra systems such as Mathematica® are essential not only for learning to apply the concepts to computationally challenging problems, but also for visualizing many of the geometric aspects within this field of study. Principles of Linear Algebra with Mathematica uniquely bridges the gap between beginning linear algebra and computational linear algebra that is often encountered in applied settings, and the commands required to solve complex and computationally challenging problems using Mathematica are provided.The book begins with an introduction to the commands and programming guidelines for working with Mathematica. Next, the authors explore linear systems of equations and matrices, applications of linear systems and matrices, determinants, inverses, and Cramer's rule. Basic linear algebra topics, such as vectors, dot product, cross product, and vector projection are explored, as well as a unique variety of more advanced topics including rotations in space, 'rolling' a circle along a curve, and the TNB Frame. Subsequent chapters feature coverage of linear transformations from Rn to Rm, the geometry of linear and affine transformations, with an exploration of their effect on arclength, area, and volume, least squares fits, and pseudoinverses.Mathematica is used to enhance concepts and is seamlessly integrated throughout the book through symbolic manipulations, numerical computations, graphics in two and three dimensions, animations, and programming. Each section concludes with standard problems in addition to problems that were specifically designed to be solved with Mathematica, allowing readers to test their comprehension of the presented material. All related Mathematica code is available on a corresponding website, along with solutions to problems and additional topical resources.Extensively class-tested to ensure an accessible presentation, Principles of Linear Algebra with Mathematica is an excellent book for courses on linear algebra at the undergraduate level. The book is also an ideal reference for students and professionals who would like to gain a further understanding of the use of Mathematica to solve linear algebra problems.
| Publisher | Wiley |
| Publication date | August 2, 2011 |
| Edition | 1st |
| Language | English |
| Print length | 624 pages |
| ISBN-10 | 0470637951 |
| ISBN-13 | 978-0470637951 |
| Item Weight | 2.32 pounds (1.05 kg) |
| Dimensions | 6.4 x 1.32 x 9.51 inches (16.3 x 3.4 x 24.2 cm) |
| Part of series | Pure and Applied Mathematics: A Wiley Series of Texts, Monographs and Tracts |
Who Should Buy?
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Students in Mathematics
Ideal for undergraduate and graduate students seeking a comprehensive understanding of linear algebra concepts with practical applications.
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Engineering Professionals
Useful for engineers needing to apply linear algebra techniques in various fields, enhanced by Mathematica's computational capabilities.
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Educators and Instructors
Great resource for teachers looking for a structured textbook to explain linear algebra using Mathematica in their curriculum.
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Casual Learners
Not suitable for individuals seeking quick summaries or basic overviews of linear algebra without in-depth theoretical exploration.
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Linear Editorial Review
**** "Principles of Linear Algebra with Mathematica" has been warmly received by readers, particularly those from engineering and mathematical backgrounds who are eager to merge theoretical knowledge with practical skills. The book excels in presenting linear algebra in a conversational tone, which makes complex concepts more digestible, especially for self-learners. One of its standout features is the integration of Mathematica, a powerful computer algebra system. This not only helps in solving challenging problems but also serves as an invaluable tool for visualizing and understanding linear algebra concepts through practical application. The authors, Shiskowski and Frinkle, strike a commendable balance between theory and application. Their approach fosters independence in students by encouraging them to work through proofs and understand the material deeply. The downloadable Mathematica code accessible via the companion website adds further value, enabling students to apply what they've learned in a hands-on manner. Additionally, the comprehensive solutions manual aids in reinforcing the learning process with step-by-step explanations of complex problems. While the book is primarily theoretical and may be perceived as such, it remains versatile enough for practical-minded readers who are treated to “neat little hacks” in Mathematica programming. However, some reviewers felt the book could benefit from greater focus on matrix manipulations and calculations, suggesting that while it is well-rounded, it leans slightly more towards theoretical discussions. Overall, "Principles of Linear Algebra with Mathematica" is recommended for those looking to unlock the intricate relationship between linear algebra and computational techniques. It’s particularly beneficial for students who want a solid footing in both disciplines without the fluff that typically inflates the price of academic texts. **
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Pros
- Clear, conversational writing style that enhances understanding
- Strong integration of Mathematica for practical applications
- Well-structured problems that reinforce learning
- Solutions manual with detailed explanations
- Encourages student independence through exercises
Cons
- Theoretical focus may not suit all practical-minded students
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MYR 925
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Features & Benefits
- Hands-on introduction to theoretical and computational aspects of linear algebra using Mathematica
- Covers topics like linear systems, matrices, determinants, inverses, and Cramer's rule
- Explores basic linear algebra concepts and advanced topics like rotations in space and least squares fits
- Utilizes Mathematica for symbolic manipulations, numerical computations, graphics, animations, and programming
- Great for undergraduate courses on linear algebra and professionals looking to enhance their understanding of Mathematica
- Class-tested to ensure accessibility and includes problems designed to be solved with Mathematica
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