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Level Set Methods and Fast Marching Methods: Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials Science
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AMD 29266
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Информация о продукте
| Publisher | Cambridge University Press |
| Publication date | June 13, 1999 |
| Edition | 2nd |
| Language | English |
| Print length | 404 pages |
| ISBN-10 | 0521645573 |
| ISBN-13 | 978-0521645577 |
| Item Weight | 1.16 pounds (530 grams) |
| Dimensions | 6 x 1.01 x 9 inches (15.2 x 2.6 x 22.9 cm) |
Who Should Buy?
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Researchers
Ideal for researchers exploring evolving interfaces in computational geometry and fluid mechanics, providing advanced mathematical frameworks.
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Graduate Students
Beneficial for graduate students studying PDEs or numerical methods, aiding in deeper understanding of interface evolution methods.
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Practitioners
Useful for practitioners in computer vision and materials science looking for practical applications of level set methods.
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Beginners
Not suitable for beginners lacking prior knowledge of mathematical methods and computational techniques in relevant fields.
ОПИСАНИЕ ТОВАРА
Level Set Methods and Fast Marching Methods: Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials Science ... Computational Mathematics, Series Number 3)
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Calculus Editorial Review
"Level Set Methods and Fast Marching Methods" serves as a substantial reference for professionals working in fields such as computational geometry, fluid mechanics, computer vision, and materials science. This book, authored by one of the pioneers of the level set methodology, is lauded for its thorough coverage of concepts relevant to advanced image analysis, particularly in image segmentation. However, it is important to note that the text is heavy on formulas and may not serve as a comprehensive tutorial for newcomers to the subject. Readers familiar with implementing such methodologies will find it particularly beneficial, while those looking for foundational understanding may need to seek additional resources. The readability of the book stimulates engagement, and the first few chapters are recognized for their insightful explanations. Nevertheless, reviewers highlighted a variety of shortcomings, notably the presence of multiple typos and a lack of detailed guidance in later chapters, particularly from chapter five onward. The book fails to present a self-contained approach, with users expressing a desire for more examples and deeper insights, especially when traversing complex topics such as etching and deposition. Overall, while the book is appreciated as a solid overview of level set methods, it requires a prerequisite understanding and supplemental learning materials for those who want to effectively apply the techniques discussed.
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Плюсы
- Strong reference for advanced professionals in relevant fields.
- Engaging writing style and comprehensive initial chapters.
- Useful for image analysis, particularly image segmentation.
Минусы
- Heavy on formulas; not beginner-friendly.
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