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Numerical Linear Algebra
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A concise, insightful introduction to the field of numerical linear algebra
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Product Details
- An essential textbook for students studying numerical linear algebra
- Provides a comprehensive introduction to the fundamental concepts and techniques
- Includes practical examples and applications in various fields
- Covers topics such as linear systems, eigenvalue problems, and matrix factorizations
- Written by an expert in the field with extensive teaching experience
- Suitable for undergraduate and graduate courses in numerical linear algebra
| Publisher | SIAM: Society for Industrial and Applied Mathematics |
| Publication date | June 1, 1997 |
| Edition | 1st |
| Language | English |
| Print length | 184 pages |
| ISBN-10 | 0898713617 |
| ISBN-13 | 978-0898713619 |
| Item Weight | 1.41 pounds (640 grams) |
| Dimensions | 7 x 0.75 x 10 inches (17.8 x 1.9 x 25.4 cm) |
Who Should Buy?
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Graduate Students
Ideal for graduate students studying mathematics, engineering, or computer science specializing in numerical methods and linear algebra.
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Research Professionals
Beneficial for researchers needing advanced numerical techniques to solve complex problems in various scientific fields.
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Educators and Instructors
Suitable for educators teaching numerical linear algebra, providing comprehensive insights and examples to enhance students' understanding.
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Beginner Learners
Not suitable for beginners with no prior understanding of linear algebra concepts, as it may be too advanced.
Product Description
Numerical Linear Algebra
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Features & Benefits
- Clarity and eloquence of presentation makes it popular with teachers and students alike
- Expands reader's view of the field and presents standard material in a novel way
- Covers all important topics in the field with fresh perspectives
- Presentation is in the form of 40 lectures with no risk of getting lost in details and technicalities
- Begins with QR factorization, an important and fresh idea for students
- Emphasizes unity between topics throughout the book
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