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Item #:
28406519
Numerical Linear Algebra with Applications: Using MATLAB and Octave
83% of respondents would recommend this to a friend
Item #:
28406519
MAD 1696
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What Stands Out
Practical Applications
Integrates real-world applications of numerical linear algebra, providing readers with relevant examples to enhance understanding and applicability of the subject in fields like engineering and data science.
MATLAB & Octave
Utilizes both MATLAB and Octave, offering flexibility for users with different software preferences while ensuring comprehensive learning through hands-on coding and problem-solving experiences.
Beginner Friendly
Clearly written for beginners, breaking down complex concepts into manageable sections and providing step-by-step instructions that facilitate self-paced learning and mastery of numerical methods.
Product Details
| Publisher | Academic Press |
| Publication date | September 16, 2014 |
| Edition | 1st |
| Language | English |
| Print length | 628 pages |
| ISBN-10 | 012394435X |
| ISBN-13 | 978-0123944351 |
| Item Weight | 3.3 pounds (1.5 kg) |
| Dimensions | 8.7 x 1.1 x 10.9 inches (22.1 x 2.8 x 27.7 cm) |
Who Should Buy?
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Students in Mathematics
Ideal for undergraduate and graduate students looking to deepen their understanding of numerical linear algebra concepts.
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Engineers and Scientists
Useful for professionals needing practical applications of numerical methods in engineering, physics, and other scientific fields.
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Self-learners
Great for individuals seeking to learn numerical linear algebra independently through hands-on exercises in MATLAB and Octave.
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Casual Learners
Not suitable for those looking for a light introduction without rigorous mathematical theory or application focus.
Product Description
Numerical Linear Algebra with Applications: Using MATLAB and Octave
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Linear Editorial Review
Numerical Linear Algebra with Applications: Using MATLAB 1st Edition is a comprehensive resource for studying NLA. However, some chapters have formatting issues in the Kindle version. The book is highly recommended and considered one of the best in its field, along with GVL. The micro-font size on the front and back covers may pose a challenge for reading. Overall, it is great for reference and provides clear implementations of algorithms in MATLAB.
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Pros
- Comprehensive resource for studying NLA
- Clear implementations of algorithms in MATLAB
- Highly recommended and considered one of the best books in the field
Cons
- Formatting issues in the Kindle version
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