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Linear Algebra with Applications: .
88% of respondents would recommend this to a friend
TWD 4833
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Linear Algebra with Applications is designed for the introductory course in linear algebra for students within engineering, mathematics, business management, and physics.
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產品詳情
| Publisher | Jones & Bartlett Learning |
| Publication date | December 15, 2017 |
| Edition | 9th |
| Language | English |
| Print length | 594 pages |
| ISBN-10 | 1284120090 |
| ISBN-13 | 978-1284120097 |
| Item Weight | 2.95 pounds (1.34 kg) |
| Dimensions | 8.5 x 1 x 10.75 inches (21.6 x 2.5 x 27.3 cm) |
Who Should Buy?
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Undergraduate Students
Ideal for college students requiring a clear introduction to linear algebra concepts applicable in various fields.
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Self-Learners
Great for individuals self-studying who need comprehensive explanations and practical applications of linear algebra.
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Educators
Useful for teachers seeking a robust textbook with structured content and pedagogical aids for effective teaching.
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Advanced Mathematicians
May not satisfy advanced users needing in-depth theoretical discussions beyond standard linear algebra applications.
產品描述
Linear Algebra with Applications: .
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Linear Editorial Review
Linear Algebra with Applications provides a comprehensive approach to mastering linear algebra, ideal for students as the text includes numerous practice problems and a robust index, facilitating self-study and understanding. Readers praise its clear methodology that simplifies complex concepts, making it a valuable resource for foundational learning, particularly beneficial for those interested in machine learning frameworks. However, some critiques mention the lack of proofs for certain theorems, which might be a drawback for those seeking an in-depth theoretical approach. Overall, it's an excellent choice for both coursework and independent study, offering 594 pages of detailed content and practical exercises.
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優點
- Clear explanations of complex concepts
- Numerous practice problems available
- Good index for quick reference
- Suitable for self-study
- Strong foundational materials for machine learning
缺點
- Some theorems are presented without proofs
Product Price History
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特色和優勢
- Flexible blend of theory and engaging applications.
- Covers basics like systems of linear equations, vectors, matrices, and linear transformations.
- Discusses important ideas and methods in Numerical Linear Algebra.
- Interesting applications range from theoretical to practical fields.
- Updated to increase clarity and improve student learning.
- Arranged into three parts that contain core and optional sections.
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