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Scientific Computing with MATLAB and Octave (Texts in Computational Science and Engineering, 2)
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This carefully written textbook contains substantial new developments on the numerical solution of differential equations.
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Product Details
| Publisher | Springer |
| Publication date | August 23, 2016 |
| Edition | Softcover reprint of the original 4th ed. 2014 |
| Language | English |
| Print length | 468 pages |
| ISBN-10 | 3662517582 |
| ISBN-13 | 978-3662517581 |
| Item Weight | 1.7 pounds (770 grams) |
| Dimensions | 6.1 x 1.06 x 9.25 inches (15.5 x 2.7 x 23.5 cm) |
| Part of series | Texts in Computational Science and Engineering |
Product Description
Scientific Computing with MATLAB and Octave (Texts in Computational Science and Engineering, 2)
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Graph Theory Editorial Review
The reviews of the book on learning GNU Octave present a mixed reception from readers. Many users appreciate its structured format and acknowledge it caters well to individuals with a solid foundation in calculus. However, it appears that this book is not suited for beginners, as it presumes a level of prior knowledge that newcomers may not possess. Some reviewers praise the book for its Construction, indicating that it has a logical flow, but they also criticize it for lacking depth in its instructional material. The feedback points to a major flaw: the absence of detailed explanations or troubleshooting advice, which diminishes the book's practical utility, especially for those transitioning from programming backgrounds like C. For these users, the book fails to deliver adequate examples that enhance comprehension, often leaving them frustrated due to its simplistic presentation of problems and answers without elaboration. In summary, while the book may serve as a beneficial resource for more advanced learners familiar with calculus, it has significant shortcomings in instructional depth that can hinder the learning experience for beginners or those looking for a comprehensive guide. **
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Pros
- Well-structured format.
- Useful for learners with a solid understanding of calculus.
Cons
- Not suitable for beginners or those with no prior knowledge of programming.
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GBP 36
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Features & Benefits
- Comprehensive introduction to Scientific Computing concepts.
- Focus on numerical methods for mathematical problem-solving.
- Utilizes Matlab and Octave for practical learning.
- Includes solutions to problems from exercises and real applications.
- Offers additional resources for deeper exploration of topics.
- Ideal for readers with backgrounds in mathematics, natural sciences, or economics.
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