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Linear Algebra with Applications
€ 13
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Holt's Linear Algebra with Applications blends computational and conceptual topics throughout.
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Ce qui se démarque
Détails du produit
- Many students of linear algebra hit a wall at mid-semester. Having spent the first part of the term doing mostly computational work, they are unprepared for the rigors of conceptual thinking in an abstract setting that is frequently the focus of the second half of the course. Holt's Linear Algebra with Applications blends computational and conceptual topics throughout. Early treatment of conceptual topics in the context of Euclidean space gives students more time, and a familiar setting, in which to absorb them. This organization also makes it possible to treat eigenvalues and eigenvectors earlier than in most texts. Abstract vector spaces are introduced later, once students have developed a solid conceptual foundation. Concepts and topics are frequently accompanied by applications to provide context and motivation. Because many students learn by example, Linear Algebra with Applications provides a large number of representative examples, over and above those used to introduce topics. The text also has over 2500 exercises, covering computational and conceptual topics over a range of difficulty levels.
| Publisher | W. H. Freeman |
| Publication date | December 21, 2012 |
| Edition | Underlining and Notation |
| Language | English |
| Print length | 508 pages |
| ISBN-10 | 0716786672 |
| ISBN-13 | 978-0716786672 |
| Item Weight | 2.45 pounds (1.11 kg) |
| Dimensions | 8.17 x 0.89 x 10.17 inches (20.8 x 2.3 x 25.8 cm) |
À qui est-ce destiné ?
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Students of Mathematics
Ideal for undergraduate students focusing on linear algebra, enhancing their understanding through clear notation and examples.
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Course Instructors
Useful for educators looking for a comprehensive textbook to guide their teaching and facilitate student learning.
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Self-learners
Great for individuals studying independently, offering a structured approach with practical applications and exercises.
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Advanced Researchers
May not contain the depth of material needed for researchers seeking more complex theories and applications.
DESCRIPTION DU PRODUIT
Questions et réponses des clients
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question:
Does the textbook cover both computational and conceptual topics?
répondre: Yes, it blends computational and conceptual topics throughout. -
question:
How many exercises are included in the text?
répondre: Over 2500 exercises are provided covering a range of difficulty levels. -
question:
When are abstract vector spaces introduced?
répondre: Abstract vector spaces are introduced later, once students have developed a solid conceptual foundation.
Linear Editorial Review
The textbook on Linear Algebra seems to have received mixed reviews from customers who have used it for their classes. While some found it to be exactly what they needed, with a nice and organized layout that helped them succeed in their class, others felt that the examples provided were not in-depth enough and sometimes left out important context. One user mentioned that despite not being a big fan of the subject, they found the book helpful for their undergraduate studies and continued to refer to it even as a graduate. Another user credited their A+ grade in the class to the high quality of the text, praising the pacing, layout, color scheme, example problems, problem sets, and writing style. Overall, the Consensus seems to be that the textbook is effective in teaching linear algebra concepts but could benefit from more detailed examples and additional context in certain sections to aid in better understanding. **
Avis et évaluations clients
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5 étoile
53%
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4 étoile
22%
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3 étoile
11%
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2 étoile
3%
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1 étoile
11%
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Avantages
- Organized layout
- Helpful for both undergraduate and graduate studies
- Pacing and problem sets promote strong conceptual understanding
Les inconvénients
- Lacks in-depth examples at times
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Caractéristiques et avantages
- Early treatment of conceptual topics in the context of Euclidean space
- Treats eigenvalues and eigenvectors earlier than most texts
- Introduces abstract vector spaces later, once students have a solid conceptual foundation
- Accompanies concepts and topics with applications for context and motivation
- Provides a large number of representative examples
- Over 2500 exercises covering computational and conceptual topics
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